Lab4_A1
Sridhar Adhikarla, Omkar Bhutra
October 4, 2018
Assignment 1
1 Reading Data price_and_earnings
Reading data into variable “p_e”. I am setting the first column of city names as Row names for the data.This is the reason I am subtracting 1 from the required columns we were asked to select.
## Food.Costs... iPhone.4S.hr. Clothing.Index Hours.Worked Wage.Net
## Amsterdam 364 44.5 110.8 1755 69.4
## Athens 390 86.0 112.5 1822 40.0
## Auckland 497 51.0 79.2 1852 63.5
## Bangkok 422 165.0 64.2 2312 17.4
## Barcelona 394 52.5 109.2 1761 58.7
## Beijing 463 184.0 87.5 1979 18.0
## Vacation.Days Big.Mac.min. Bread.kg.in.min. Rice.kg.in.min.
## Amsterdam 24 16 7 9
## Athens 23 30 13 26
## Auckland 20 16 17 8
## Bangkok 7 36 26 20
## Barcelona 29 19 12 6
## Beijing 9 34 28 16
## Goods.and.Services...
## Amsterdam 3034
## Athens 2605
## Auckland 3019
## Bangkok 2178
## Barcelona 2941
## Beijing 23752
It is hard to find any clusters in this heatmap. It is even hard to spot outliers.There are 72 citys in the dataset,but we cannot see all the 72 on the y axis labels due to lack of space.All the points are being plotted but its not shown on y axis labels as there is no space for all of them.If we hover through the plot we would be able to find the corresponding city name. We can also zoom into the area of interest on the heatmap and that would show us all the labels for the zoomed region.
3
Both the plots are almost similar, its just both have different ordering of rows due to the different ways of computing the distance matrix. It looks like in the correlations heatmap, the ordering of the rows in just oposite to the one in Euclidean distance heatmap. But the clusters found in both the heatmaps are almost similar.
Althouth it is hard to tell which one is doing better, I think heatmap based on Euclidean diatance is better in reordering, as the clusters are clearer in this heatmap.
The heatmap plot based on the reordered matrix calculated using eucledian distance gives us a much clearer picture of the data. Previously we were not able to spot clusters at all in the Heatmap from the unordered matrix. But now the reordering has made it easy to spot the clusters. I found 3 prominant clusters in this reordered data.
The first largest cluster is one from Geneva to Dubai.
Another smaller cluster is from Athens to Lisbon.
And the third one is from Shanghai to Caracas.
4
I think the clusters are much more clear for the heatmap from matrix obtained from the Traveling Sales Person optimization. The reordering of the matrix using the TSP optimization make identifying clusters much easier. The same 3 clusters identified in the heatmap from HC optmizer are visible here in a better way.
In this case there is not much of a difference in the path length obtained from the two optimization techniques. The reordered matrix from TSP optimization had path length smaller than the reordered matrix from HC optimization.
TSP optimization had much smaller Gradient_raw than the HC optimization. There was a difference of 37338 between the two gadients.
## Gradient_raw Path_length
## HC 65528 121.9671
## TSP 66270 123.04095
I was able to find two clusters in the data using parallel coordinate plot for unsorted data. I was able to identify the clusters when I rearranged the columns in the plot.
The first cluster in the light shade of blue is mainly defined by the variable IPhone4s. The coodrinates of this cluster are groued at the variable Iphone4s near the range 0-60. This is the most well defined cluster which follows the same trend if the columns are reordered properly. The coordinates follow a trend of going upwards when I rearranged the variables manually.
The second cluster was not identifiable at first, the cluster in the dar shade of blue follows the same trend for most of the variables. The variable that defines this cluster the best is Net Wage as the lines get close near the range 0-40. This cluster is not too well defined as the first one but the line are parallel to each other for majority of the variables.
According to me the most prominant outlier were bread and food cost. Most of the Coordinates broke the trend near them going far away from the cluster.
6
The two clusters I found were -
First one including Cairo, Delhi, Mexico, Doha, Lima, Mumbai, Bangkok, Tokya
Second one includes Vienna, ansterdam, Auckland, Brussles, Lyon, London, Munich, Rome and Stockholm
These were the two clusters I was able to identify in the radar plot. The most distinct outlier I found was Food cost.
7
According to me the most efficient tool for analysing this kind of data is using parallel coordinates plot. It was simple to spot clusters and outliers in it once we manually found a good ordering for the variables. The outliers can easily be spotted in a parallel coordinate plot but Heatmaps are better for spoting outliers. I would say parallel coordinates and heatmaps are the most efficient and simple tools to use if our goal is to find clusters or outliers in a sorted dataset.
Analysing the radar plots was a tedious task. It could be good for a small dataset but manually looking for identical shapes in a large dataset is not an efficient way to work. Parallel coordinates and Heatmaps are much better ways for identifying clusters and finding outliers.
Assignment 2
Q1
Scatter plot
## `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'There is a problem of occlusion with a large number of observations plotted on a scatter plot. Not much can be derived from the scatter plot. People with income below 50K$ work longer hours at older ages. ####Trellis plot
## `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'In the Trellis plot above, it can be seen that person’s with the income above 50K$ are mostly working between 25 to 75 hours per week.
Q2
Most people earning lesser than 50K$ per year are in their early 20’s. Most people earning higher than 50K$ per year are in the age group of 35 to 45 years old.
From the Trellis plot, we can observe that income levels do not affect Married-AF-spouse, Divorced, Separated and Widowed people as the plots nearly match both income groups. The largest difference in age is amongst Never married people. It can also be observed that Widowed people work more than all other groups.
Q3
It is difficult to analyse this plot as there is occlusion of data. With marker size and opacity reduced, we can still see overplotting but it is observed that two cluster emerge from this data. Persons with education with a bachelors or masters degree have and person with high school education, Class 12 or some college education have high capital losses and this observation is unifrom across all working ages
Q4
Q4a
Q4b
Agerange <-lattice::equal.count(adultdata$Age, number=4, overlap=0.10) #overlap is 10%
L<-matrix(unlist(levels(Agerange)), ncol=2, byrow = T)
L1<-data.frame(Lower=L[,1],Upper=L[,2], Interval=factor(1:nrow(L)))
index=c()
Class=c()
for(i in 1:nrow(L)){
Cl=paste("[", L1$Lower[i], ",", L1$Upper[i], "]", sep="")
ind=which(adultdata$Age>=L1$Lower[i] &adultdata$Age<=L1$Upper[i])
index=c(index,ind)
Class=c(Class, rep(Cl, length(ind)))
}
df4<-adultdata[index,]
df4$Class<-as.factor(Class)
df4 %>% filter(capitalloss!=0)## Age workclass fnlwgt education educationnum
## 1 20 Private 111697 Some-college 10
## 2 24 Private 43323 HS-grad 9
## 3 27 Private 124953 HS-grad 9
## 4 26 Private 397317 Masters 14
## 5 28 Private 166481 7th-8th 4
## 6 28 ? 123147 Some-college 10
## 7 27 Private 116358 Some-college 10
## 8 20 ? 114746 11th 7
## 9 24 Private 172146 9th 5
## 10 26 Private 181655 Assoc-voc 11
## 11 28 Private 196690 Assoc-voc 11
## 12 24 Private 106085 HS-grad 9
## 13 20 State-gov 223515 Assoc-acdm 12
## 14 19 ? 241616 HS-grad 9
## 15 27 Private 137645 Bachelors 13
## 16 28 Self-emp-not-inc 218555 Some-college 10
## 17 26 Private 280093 5th-6th 3
## 18 25 Private 212495 Bachelors 13
## 19 26 Local-gov 166295 Bachelors 13
## 20 21 Private 32616 HS-grad 9
## 21 28 Private 303954 HS-grad 9
## 22 19 Private 242941 Some-college 10
## 23 23 Private 196827 Some-college 10
## 24 18 Private 201901 HS-grad 9
## 25 25 Private 302465 12th 8
## 26 26 Private 225279 Some-college 10
## 27 24 Private 379066 Some-college 10
## 28 24 Private 85088 HS-grad 9
## 29 20 Self-emp-not-inc 157145 Some-college 10
## 30 20 Private 131230 HS-grad 9
## 31 26 Private 117833 Bachelors 13
## 32 28 Private 241895 HS-grad 9
## 33 28 Local-gov 154863 HS-grad 9
## 34 24 Federal-gov 314525 Bachelors 13
## 35 19 Private 387215 Some-college 10
## 36 27 Federal-gov 469705 HS-grad 9
## 37 24 Private 137591 Some-college 10
## 38 25 Private 168403 Bachelors 13
## 39 20 Private 315877 HS-grad 9
## 40 25 Private 74883 Bachelors 13
## 41 23 Private 183327 HS-grad 9
## 42 28 Local-gov 250135 Masters 14
## 43 28 Private 273929 HS-grad 9
## 44 27 Self-emp-inc 64379 HS-grad 9
## 45 23 Self-emp-not-inc 258298 Bachelors 13
## 46 21 Private 146499 Assoc-voc 11
## 47 28 Private 183780 HS-grad 9
## 48 19 Private 93604 7th-8th 4
## 49 26 Private 115717 Some-college 10
## 50 19 Private 167140 Some-college 10
## 51 22 Private 217961 Some-college 10
## 52 25 Local-gov 90730 Bachelors 13
## 53 20 Private 115824 11th 7
## 54 21 ? 161930 HS-grad 9
## 55 23 Private 44064 Some-college 10
## 56 25 Private 178505 Some-college 10
## 57 25 Private 34402 Bachelors 13
## 58 27 Private 151382 7th-8th 4
## 59 23 Private 435835 HS-grad 9
## 60 25 ? 122745 HS-grad 9
## 61 26 Private 303973 HS-grad 9
## 62 21 Private 109414 Some-college 10
## 63 27 Private 175387 Bachelors 13
## 64 26 Private 322614 Preschool 1
## 65 22 ? 219233 HS-grad 9
## 66 20 Private 107801 Assoc-acdm 12
## 67 28 Local-gov 304960 Assoc-acdm 12
## 68 19 Private 240468 Some-college 10
## 69 23 Private 220993 HS-grad 9
## 70 24 Self-emp-not-inc 322931 7th-8th 4
## 71 25 Private 177499 Bachelors 13
## 72 18 ? 276864 Some-college 10
## 73 28 Private 103802 Bachelors 13
## 74 20 Private 91939 HS-grad 9
## 75 28 Local-gov 175262 Assoc-acdm 12
## 76 22 Private 215395 Some-college 10
## 77 21 Private 119309 Some-college 10
## 78 25 Private 193820 Bachelors 13
## 79 20 ? 144685 Some-college 10
## 80 25 Private 123095 Some-college 10
## 81 27 Private 60374 HS-grad 9
## 82 18 ? 255282 11th 7
## 83 27 Private 285897 HS-grad 9
## 84 23 Private 107801 Some-college 10
## 85 26 Private 36936 Assoc-voc 11
## 86 25 Private 282313 10th 6
## 87 28 Private 184723 Bachelors 13
## 88 28 Private 181291 Bachelors 13
## 89 27 Local-gov 92431 Some-college 10
## 90 25 Private 121102 Assoc-acdm 12
## 91 27 Self-emp-inc 120126 Bachelors 13
## 92 27 Private 156516 Some-college 10
## 93 23 Private 275818 Some-college 10
## 94 20 Private 146879 HS-grad 9
## 95 19 Private 158118 HS-grad 9
## 96 24 Private 24243 HS-grad 9
## 97 21 Private 180339 Assoc-voc 11
## 98 22 Private 347867 HS-grad 9
## 99 23 Private 213955 HS-grad 9
## 100 25 Private 203871 Assoc-voc 11
## 101 21 State-gov 48121 Some-college 10
## 102 27 Private 183627 Bachelors 13
## 103 25 Private 77071 Bachelors 13
## 104 17 Private 209949 11th 7
## 105 22 Private 156822 10th 6
## 106 21 Private 118712 Assoc-voc 11
## 107 19 Self-emp-not-inc 342384 11th 7
## 108 19 Private 184737 HS-grad 9
## 109 28 Private 114158 Bachelors 13
## 110 27 Private 34273 Assoc-voc 11
## 111 26 Private 82246 Bachelors 13
## 112 28 Private 190067 Bachelors 13
## 113 27 Private 31659 Bachelors 13
## 114 18 Private 144711 HS-grad 9
## 115 28 Private 346406 HS-grad 9
## 116 18 Private 193290 Some-college 10
## 117 28 Self-emp-not-inc 54683 Some-college 10
## 118 27 Private 169117 HS-grad 9
## 119 28 Private 72443 Some-college 10
## 120 26 Private 58098 Some-college 10
## 121 26 ? 131777 Bachelors 13
## 122 27 Private 112754 Bachelors 13
## 123 26 Private 215384 Bachelors 13
## 124 28 Private 147560 Some-college 10
## 125 23 ? 381741 Assoc-acdm 12
## 126 21 Private 257781 Some-college 10
## 127 27 Private 292472 Some-college 10
## 128 26 Private 279833 Bachelors 13
## 129 28 Private 51461 Bachelors 13
## 130 21 Private 540712 HS-grad 9
## 131 23 Private 53245 Bachelors 13
## 132 21 Private 34310 Assoc-voc 11
## 133 28 State-gov 381789 Some-college 10
## 134 21 Private 213341 11th 7
## 135 23 Private 278107 HS-grad 9
## 136 27 Private 160786 11th 7
## 137 22 Federal-gov 32950 Some-college 10
## 138 18 Private 238867 11th 7
## 139 19 Local-gov 210308 Some-college 10
## 140 24 Private 216129 HS-grad 9
## 141 25 Private 378322 HS-grad 9
## 142 26 Private 291968 Prof-school 15
## 143 25 Private 52536 Assoc-acdm 12
## 144 24 Private 276851 HS-grad 9
## 145 18 ? 214989 Some-college 10
## 146 17 Private 148522 11th 7
## 147 17 Private 225106 10th 6
## 148 23 Private 162945 HS-grad 9
## 149 27 Self-emp-not-inc 208577 HS-grad 9
## 150 27 Private 38918 HS-grad 9
## 151 23 Private 102942 Bachelors 13
## 152 26 Private 164488 Masters 14
## 153 25 Private 177017 HS-grad 9
## 154 25 Private 253267 Some-college 10
## 155 19 Private 264390 Some-college 10
## 156 25 Private 182227 HS-grad 9
## 157 28 Private 140845 10th 6
## 158 28 Private 111696 HS-grad 9
## 159 24 Private 210029 HS-grad 9
## 160 17 Private 93235 12th 8
## 161 21 Private 52753 HS-grad 9
## 162 25 Private 117833 Bachelors 13
## 163 28 Private 129460 10th 6
## 164 27 Private 189462 Masters 14
## 165 18 Private 414721 11th 7
## 166 19 ? 218471 HS-grad 9
## 167 21 Local-gov 102942 Some-college 10
## 168 18 ? 261276 Some-college 10
## 169 26 Private 104834 Masters 14
## 170 27 Private 38606 Bachelors 13
## 171 25 Local-gov 190107 HS-grad 9
## 172 17 Local-gov 170916 10th 6
## 173 26 Private 149734 HS-grad 9
## 174 21 State-gov 145651 Some-college 10
## 175 25 Private 111058 Some-college 10
## 176 26 Self-emp-not-inc 221626 HS-grad 9
## 177 18 Private 166889 Some-college 10
## 178 28 Private 141957 Assoc-acdm 12
## 179 19 Private 198459 HS-grad 9
## 180 28 Private 138692 Bachelors 13
## 181 28 Private 339372 Bachelors 13
## 182 28 Private 293926 HS-grad 9
## 183 26 Self-emp-not-inc 177858 Bachelors 13
## 184 19 Private 124486 12th 8
## 185 27 Private 87006 Some-college 10
## 186 21 ? 40052 Some-college 10
## 187 22 Private 119592 Assoc-acdm 12
## 188 28 Private 251905 Prof-school 15
## 189 18 Private 404868 11th 7
## 190 18 Private 77845 Some-college 10
## 191 24 Private 216469 HS-grad 9
## 192 19 ? 278220 Some-college 10
## 193 25 Private 122489 Bachelors 13
## 194 17 Federal-gov 99893 11th 7
## 195 22 ? 236330 Some-college 10
## 196 17 Private 218361 10th 6
## 197 19 Private 243941 Some-college 10
## 198 21 Private 377931 Some-college 10
## 199 23 Private 151910 Bachelors 13
## 200 18 ? 171964 HS-grad 9
## 201 23 Local-gov 442359 Bachelors 13
## 202 27 Private 132805 10th 6
## 203 27 Self-emp-not-inc 151402 HS-grad 9
## 204 19 Private 283945 10th 6
## 205 20 Private 289405 Some-college 10
## 206 27 Private 37250 Some-college 10
## 207 27 ? 501172 Some-college 10
## 208 17 Private 184924 9th 5
## 209 23 Private 188545 Assoc-acdm 12
## 210 21 Private 132053 Some-college 10
## 211 19 ? 351195 9th 5
## 212 17 Private 132680 10th 6
## 213 17 Private 116626 11th 7
## 214 20 Private 39803 Some-college 10
## 215 21 Private 301408 Some-college 10
## 216 23 Private 129767 Some-college 10
## 217 27 Private 141545 HS-grad 9
## 218 18 ? 51574 HS-grad 9
## 219 24 Federal-gov 210736 HS-grad 9
## 220 26 Private 366219 HS-grad 9
## 221 27 Private 215504 Bachelors 13
## 222 23 Private 143003 Masters 14
## 223 21 Private 387335 Some-college 10
## 224 20 ? 369678 12th 8
## 225 26 ? 370727 Bachelors 13
## 226 28 Private 191088 HS-grad 9
## 227 21 Private 211968 Some-college 10
## 228 18 Private 41381 HS-grad 9
## 229 30 Private 117747 HS-grad 9
## 230 27 Private 124953 HS-grad 9
## 231 38 Private 179488 Some-college 10
## 232 28 Private 166481 7th-8th 4
## 233 28 ? 123147 Some-college 10
## 234 36 Federal-gov 255191 Masters 14
## 235 27 Private 116358 Some-college 10
## 236 37 Private 22463 Assoc-voc 11
## 237 31 Private 118710 Masters 14
## 238 31 Private 243605 Bachelors 13
## 239 28 Private 196690 Assoc-voc 11
## 240 32 Private 110331 HS-grad 9
## 241 36 Self-emp-inc 108293 Bachelors 13
## 242 36 Private 156667 Bachelors 13
## 243 35 Private 199352 Prof-school 15
## 244 38 Private 132879 HS-grad 9
## 245 27 Private 137645 Bachelors 13
## 246 29 Self-emp-inc 260729 HS-grad 9
## 247 28 Self-emp-not-inc 218555 Some-college 10
## 248 38 Private 189623 Bachelors 13
## 249 35 Private 67728 Some-college 10
## 250 30 Private 57651 HS-grad 9
## 251 35 Private 187119 Bachelors 13
## 252 37 Private 188540 HS-grad 9
## 253 37 Private 171150 HS-grad 9
## 254 34 Local-gov 62463 Some-college 10
## 255 29 Private 149943 Some-college 10
## 256 30 Private 204374 Bachelors 13
## 257 37 Private 329980 Masters 14
## 258 31 Private 331065 Bachelors 13
## 259 30 Private 212237 Bachelors 13
## 260 32 Private 211699 Assoc-acdm 12
## 261 28 Private 303954 HS-grad 9
## 262 37 Private 35330 HS-grad 9
## 263 38 Federal-gov 338320 Prof-school 15
## 264 38 Local-gov 123983 Bachelors 13
## 265 35 Private 111387 Some-college 10
## 266 31 Self-emp-not-inc 161745 Bachelors 13
## 267 34 Private 271933 Bachelors 13
## 268 30 State-gov 199539 HS-grad 9
## 269 31 Private 59083 Some-college 10
## 270 33 Local-gov 262042 HS-grad 9
## 271 31 Private 327825 HS-grad 9
## 272 32 Private 295589 Masters 14
## 273 38 Private 278924 Bachelors 13
## 274 31 Private 207537 HS-grad 9
## 275 34 Private 223212 Bachelors 13
## 276 32 Private 43403 Some-college 10
## 277 30 ? 96851 Some-college 10
## 278 32 Private 130304 HS-grad 9
## 279 37 Private 262409 Masters 14
## 280 34 Private 80933 HS-grad 9
## 281 28 Private 241895 HS-grad 9
## 282 38 Private 234901 Masters 14
## 283 28 Local-gov 154863 HS-grad 9
## 284 33 Self-emp-inc 117963 Assoc-acdm 12
## 285 37 Private 295949 HS-grad 9
## 286 36 Private 183612 HS-grad 9
## 287 35 Private 152909 Bachelors 13
## 288 33 Private 288825 HS-grad 9
## 289 34 Private 119422 Assoc-voc 11
## 290 27 Federal-gov 469705 HS-grad 9
## 291 31 Self-emp-not-inc 348038 Bachelors 13
## 292 35 Private 340110 Bachelors 13
## 293 34 Private 299635 Masters 14
## 294 34 Private 155343 HS-grad 9
## 295 31 Private 260782 Some-college 10
## 296 30 Local-gov 226443 Masters 14
## 297 30 Private 174789 Assoc-acdm 12
## 298 32 State-gov 182556 Bachelors 13
## 299 36 Private 398931 Bachelors 13
## 300 31 Private 47296 Some-college 10
## 301 30 Private 315640 Doctorate 16
## 302 28 Local-gov 250135 Masters 14
## 303 28 Private 273929 HS-grad 9
## 304 27 Self-emp-inc 64379 HS-grad 9
## 305 33 Private 100135 HS-grad 9
## 306 35 Private 40135 Some-college 10
## 307 29 State-gov 188986 Assoc-voc 11
## 308 28 Private 183780 HS-grad 9
## 309 34 Private 181091 Bachelors 13
## 310 30 Self-emp-not-inc 257295 Some-college 10
## 311 38 Private 169926 Assoc-acdm 12
## 312 30 Private 220148 HS-grad 9
## 313 38 Self-emp-not-inc 164526 Prof-school 15
## 314 34 Local-gov 210164 Some-college 10
## 315 31 Private 106753 Assoc-voc 11
## 316 37 Self-emp-inc 107164 10th 6
## 317 36 Self-emp-not-inc 283122 HS-grad 9
## 318 32 Private 116539 Bachelors 13
## 319 34 Self-emp-not-inc 77209 HS-grad 9
## 320 30 Private 177216 Prof-school 15
## 321 38 Private 175360 10th 6
## 322 33 Private 111567 Masters 14
## 323 31 State-gov 181824 Bachelors 13
## 324 31 Private 37546 Bachelors 13
## 325 31 Private 291052 Some-college 10
## 326 33 Local-gov 173005 Bachelors 13
## 327 35 Private 108293 Some-college 10
## 328 27 Private 151382 7th-8th 4
## 329 36 State-gov 112497 Bachelors 13
## 330 38 Private 101978 Some-college 10
## 331 37 Local-gov 218184 Bachelors 13
## 332 29 Private 183009 Bachelors 13
## 333 34 Private 182274 Some-college 10
## 334 37 Private 99146 Bachelors 13
## 335 32 Federal-gov 148138 Bachelors 13
## 336 38 Private 193026 HS-grad 9
## 337 37 Private 176756 Some-college 10
## 338 35 Private 54317 HS-grad 9
## 339 31 Private 339482 HS-grad 9
## 340 27 Private 175387 Bachelors 13
## 341 31 Private 120672 11th 7
## 342 29 Private 81648 HS-grad 9
## 343 33 Private 112115 Bachelors 13
## 344 35 Private 148581 HS-grad 9
## 345 34 Private 195136 Bachelors 13
## 346 30 Private 97933 Assoc-acdm 12
## 347 31 Private 255004 Bachelors 13
## 348 29 Private 147755 Some-college 10
## 349 28 Local-gov 304960 Assoc-acdm 12
## 350 32 Private 102858 Assoc-acdm 12
## 351 32 Private 105938 HS-grad 9
## 352 31 Private 273324 Some-college 10
## 353 32 Private 204374 Prof-school 15
## 354 28 Private 103802 Bachelors 13
## 355 29 Private 149324 Some-college 10
## 356 34 Private 207668 Some-college 10
## 357 28 Local-gov 175262 Assoc-acdm 12
## 358 36 Private 370767 HS-grad 9
## 359 31 Private 454508 11th 7
## 360 38 Private 35429 HS-grad 9
## 361 34 Private 189759 Bachelors 13
## 362 29 Self-emp-not-inc 190636 Some-college 10
## 363 35 Private 474136 HS-grad 9
## 364 36 Private 32776 Bachelors 13
## 365 32 Private 290964 Bachelors 13
## 366 31 Private 263561 Bachelors 13
## 367 27 Private 60374 HS-grad 9
## 368 36 Private 206951 Bachelors 13
## 369 27 Private 285897 HS-grad 9
## 370 29 Private 135296 Bachelors 13
## 371 38 Federal-gov 248919 HS-grad 9
## 372 37 Self-emp-not-inc 241463 HS-grad 9
## 373 32 Private 351869 Some-college 10
## 374 30 Private 206046 HS-grad 9
## 375 28 Private 184723 Bachelors 13
## 376 38 Private 111499 HS-grad 9
## 377 28 Private 181291 Bachelors 13
## 378 34 Private 32528 Assoc-voc 11
## 379 34 Private 164190 Some-college 10
## 380 34 Self-emp-not-inc 234960 Bachelors 13
## 381 36 Local-gov 410034 Bachelors 13
## 382 33 Private 202046 Bachelors 13
## 383 27 Local-gov 92431 Some-college 10
## 384 32 Private 244147 Bachelors 13
## 385 30 Private 84119 Some-college 10
## 386 38 Private 173047 Bachelors 13
## 387 35 Private 200117 Bachelors 13
## 388 32 Private 209808 Some-college 10
## 389 34 Private 98283 Prof-school 15
## 390 33 Private 99339 Assoc-acdm 12
## 391 30 Private 148524 HS-grad 9
## 392 33 Private 54782 Bachelors 13
## 393 27 Self-emp-inc 120126 Bachelors 13
## 394 27 Private 156516 Some-college 10
## 395 37 Private 200374 Bachelors 13
## 396 35 Private 86648 Masters 14
## 397 31 Private 164243 Some-college 10
## 398 33 Private 207937 HS-grad 9
## 399 34 Private 216864 HS-grad 9
## 400 32 Private 185027 Assoc-acdm 12
## 401 36 Local-gov 241998 Bachelors 13
## 402 33 Private 34748 HS-grad 9
## 403 32 Private 175856 Bachelors 13
## 404 35 Private 261241 HS-grad 9
## 405 38 Private 126675 HS-grad 9
## 406 33 Private 236396 Bachelors 13
## 407 37 Private 241998 Bachelors 13
## 408 37 Private 252947 Bachelors 13
## 409 32 Private 226975 Some-college 10
## 410 32 Private 127610 Bachelors 13
## 411 37 Private 167735 Assoc-voc 11
## 412 30 Private 43953 HS-grad 9
## 413 33 Self-emp-not-inc 155151 Some-college 10
## 414 32 Private 136204 Masters 14
## 415 30 Private 327112 Bachelors 13
## 416 36 Private 192939 Masters 14
## 417 27 Private 183627 Bachelors 13
## 418 34 Private 25322 Bachelors 13
## 419 36 Private 189404 Bachelors 13
## 420 34 Private 277314 Assoc-acdm 12
## 421 37 Private 204277 HS-grad 9
## 422 29 Private 190539 Bachelors 13
## 423 32 Private 396745 Bachelors 13
## 424 31 Private 201122 Bachelors 13
## 425 38 Private 184655 HS-grad 9
## 426 29 Local-gov 383745 Some-college 10
## 427 35 Self-emp-inc 189404 Some-college 10
## 428 38 Private 172571 Bachelors 13
## 429 34 Private 345705 HS-grad 9
## 430 29 Private 193152 HS-grad 9
## 431 32 Self-emp-inc 161153 HS-grad 9
## 432 37 Self-emp-inc 26698 Some-college 10
## 433 34 Private 185041 HS-grad 9
## 434 35 Private 54595 10th 6
## 435 28 Private 114158 Bachelors 13
## 436 31 Private 323069 Assoc-acdm 12
## 437 31 Private 279015 Masters 14
## 438 27 Private 34273 Assoc-voc 11
## 439 35 Private 147258 Some-college 10
## 440 31 Self-emp-not-inc 325355 Bachelors 13
## 441 30 Self-emp-inc 173858 Some-college 10
## 442 33 Local-gov 281784 Bachelors 13
## 443 28 Private 190067 Bachelors 13
## 444 32 Private 203674 Assoc-acdm 12
## 445 27 Private 31659 Bachelors 13
## 446 31 Private 467579 Bachelors 13
## 447 34 Self-emp-not-inc 213226 Bachelors 13
## 448 34 Private 34862 Bachelors 13
## 449 32 Private 48458 HS-grad 9
## 450 38 Private 150601 10th 6
## 451 28 Private 346406 HS-grad 9
## 452 38 Self-emp-not-inc 93206 Bachelors 13
## 453 36 Private 99146 Some-college 10
## 454 28 Self-emp-not-inc 54683 Some-college 10
## 455 31 Private 184306 Assoc-voc 11
## 456 34 Local-gov 105540 Bachelors 13
## 457 27 Private 169117 HS-grad 9
## 458 28 Private 72443 Some-college 10
## 459 30 Private 145231 Assoc-acdm 12
## 460 27 Private 112754 Bachelors 13
## 461 28 Private 147560 Some-college 10
## 462 34 Local-gov 134886 HS-grad 9
## 463 31 Private 187901 Some-college 10
## 464 37 Self-emp-inc 30529 Bachelors 13
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## 1586 51 Private 230858 Some-college 10
## 1587 83 Self-emp-inc 153183 Bachelors 13
## 1588 68 Private 218637 Some-college 10
## 1589 56 Private 34626 Some-college 10
## 1590 60 ? 141221 Bachelors 13
## 1591 51 Private 162238 Masters 14
## 1592 50 Self-emp-inc 167793 Prof-school 15
## 1593 74 Self-emp-not-inc 206682 Some-college 10
## 1594 51 Local-gov 47415 Assoc-acdm 12
## 1595 72 Self-emp-not-inc 285408 Prof-school 15
## 1596 57 Private 121362 Some-college 10
## 1597 61 ? 202106 HS-grad 9
## 1598 58 Private 100313 Some-college 10
## 1599 57 State-gov 399246 Bachelors 13
## 1600 50 Self-emp-inc 201689 7th-8th 4
## 1601 51 Private 197163 Prof-school 15
## 1602 54 Private 145419 HS-grad 9
## 1603 59 Private 231377 Some-college 10
## 1604 54 Private 215990 Masters 14
## 1605 56 Self-emp-inc 119891 Some-college 10
## 1606 54 Private 182314 Doctorate 16
## 1607 68 State-gov 202699 Masters 14
## 1608 58 Private 138285 Assoc-acdm 12
## 1609 48 Private 93476 HS-grad 9
## 1610 53 Local-gov 103995 Bachelors 13
## 1611 58 Private 225394 HS-grad 9
## 1612 54 Self-emp-inc 206964 Some-college 10
## 1613 63 ? 83043 Bachelors 13
## 1614 48 Self-emp-not-inc 353012 HS-grad 9
## 1615 53 ? 150393 HS-grad 9
## 1616 51 Private 172046 Masters 14
## 1617 50 Private 178596 HS-grad 9
## 1618 68 ? 286869 7th-8th 4
## 1619 55 Private 175942 Doctorate 16
## 1620 61 Federal-gov 229062 Some-college 10
## 1621 62 Private 109463 Some-college 10
## 1622 67 ? 174995 Some-college 10
## 1623 66 Private 350498 Some-college 10
## 1624 49 Private 165953 HS-grad 9
## 1625 50 Private 134766 Bachelors 13
## 1626 56 Self-emp-not-inc 48102 Some-college 10
## 1627 47 Private 239865 HS-grad 9
## 1628 53 Private 48343 HS-grad 9
## 1629 53 Self-emp-not-inc 105478 Bachelors 13
## 1630 50 Private 213290 Assoc-voc 11
## 1631 65 ? 240857 Bachelors 13
## 1632 63 ? 29859 HS-grad 9
## 1633 58 Private 314092 Assoc-voc 11
## 1634 50 Private 95435 7th-8th 4
## 1635 53 Private 283743 HS-grad 9
## 1636 55 Private 135803 Bachelors 13
## 1637 49 Private 122066 5th-6th 3
## 1638 52 Private 222405 HS-grad 9
## 1639 56 Self-emp-inc 208809 HS-grad 9
## 1640 59 Private 170104 Bachelors 13
## 1641 50 Private 104501 HS-grad 9
## 1642 52 Private 113094 Bachelors 13
## 1643 65 Federal-gov 23494 Some-college 10
## 1644 53 Federal-gov 167380 HS-grad 9
## 1645 54 Private 511668 Doctorate 16
## 1646 66 Local-gov 362165 Bachelors 13
## 1647 68 Private 211287 Masters 14
## 1648 55 Federal-gov 238192 HS-grad 9
## 1649 54 Self-emp-not-inc 109418 Bachelors 13
## 1650 68 ? 257269 Bachelors 13
## 1651 52 Private 159755 Bachelors 13
## 1652 49 State-gov 269417 Doctorate 16
## 1653 61 Private 29059 HS-grad 9
## 1654 59 Self-emp-inc 122390 Some-college 10
## 1655 53 Private 208321 HS-grad 9
## 1656 47 Local-gov 154033 Some-college 10
## 1657 50 Self-emp-not-inc 42402 Prof-school 15
## 1658 51 Private 210940 HS-grad 9
## 1659 57 Private 140426 Doctorate 16
## 1660 47 Private 144351 HS-grad 9
## 1661 55 Private 41108 Some-college 10
## 1662 68 Local-gov 144761 HS-grad 9
## 1663 57 Private 64960 Assoc-voc 11
## 1664 48 Private 121253 Bachelors 13
## 1665 59 Private 314149 Assoc-voc 11
## 1666 54 Private 308087 Some-college 10
## 1667 50 ? 204577 Bachelors 13
## 1668 55 Private 110748 Bachelors 13
## 1669 52 Private 117496 Bachelors 13
## 1670 57 Self-emp-not-inc 118806 1st-4th 2
## 1671 73 Private 147551 Some-college 10
## 1672 55 Local-gov 176046 Masters 14
## 1673 47 Self-emp-not-inc 355978 Doctorate 16
## 1674 55 Private 368797 Masters 14
## 1675 64 Self-emp-inc 161325 Assoc-acdm 12
## 1676 55 Private 359972 Bachelors 13
## 1677 62 Self-emp-not-inc 197353 HS-grad 9
## 1678 74 Self-emp-not-inc 292915 Bachelors 13
## 1679 49 Local-gov 298445 Prof-school 15
## 1680 54 Private 35576 Some-college 10
## 1681 66 State-gov 132055 HS-grad 9
## 1682 54 Private 172962 Bachelors 13
## 1683 50 Self-emp-not-inc 371305 HS-grad 9
## 1684 60 Private 162347 Prof-school 15
## 1685 62 Private 81116 Some-college 10
## 1686 53 Private 110977 Masters 14
## 1687 66 ? 186061 Some-college 10
## 1688 61 State-gov 379885 Doctorate 16
## 1689 60 Private 75726 HS-grad 9
## 1690 61 Private 115023 Assoc-voc 11
## 1691 52 Self-emp-inc 230767 Bachelors 13
## 1692 53 Local-gov 137250 Masters 14
## 1693 49 Private 34545 Some-college 10
## 1694 47 Self-emp-not-inc 107231 Assoc-acdm 12
## 1695 52 Self-emp-not-inc 34973 HS-grad 9
## 1696 70 Self-emp-inc 207938 Bachelors 13
## 1697 59 Self-emp-not-inc 56392 Some-college 10
## 1698 57 Self-emp-not-inc 413373 Doctorate 16
## 1699 50 Private 102346 Bachelors 13
## 1700 63 State-gov 216871 Some-college 10
## 1701 61 Private 181219 Bachelors 13
## 1702 50 Private 102615 HS-grad 9
## 1703 49 Local-gov 78859 Masters 14
## 1704 47 Private 148995 Bachelors 13
## 1705 50 Self-emp-inc 52565 Some-college 10
## 1706 52 Private 208630 HS-grad 9
## 1707 61 Private 179743 HS-grad 9
## 1708 48 Private 109814 Prof-school 15
## 1709 48 Private 175070 HS-grad 9
## 1710 50 Self-emp-inc 121441 11th 7
## 1711 50 Self-emp-not-inc 240922 Assoc-acdm 12
## 1712 47 Self-emp-inc 102308 Prof-school 15
## 1713 47 Local-gov 324791 Masters 14
## 1714 60 Private 127084 HS-grad 9
## 1715 65 Local-gov 103153 7th-8th 4
## 1716 54 Private 161691 Masters 14
## 1717 53 Local-gov 186303 Some-college 10
## 1718 53 Private 304504 Some-college 10
## 1719 61 Private 190682 HS-grad 9
## marital occupation relationship
## 1 Never-married Adm-clerical Own-child
## 2 Never-married Other-service Not-in-family
## 3 Never-married Other-service Not-in-family
## 4 Never-married Prof-specialty Not-in-family
## 5 Married-civ-spouse Handlers-cleaners Husband
## 6 Married-civ-spouse ? Wife
## 7 Never-married Craft-repair Own-child
## 8 Married-spouse-absent ? Own-child
## 9 Never-married Machine-op-inspct Not-in-family
## 10 Married-civ-spouse Adm-clerical Husband
## 11 Never-married Machine-op-inspct Not-in-family
## 12 Never-married Other-service Own-child
## 13 Never-married Other-service Own-child
## 14 Never-married ? Unmarried
## 15 Never-married Sales Not-in-family
## 16 Never-married Transport-moving Not-in-family
## 17 Married-civ-spouse Craft-repair Husband
## 18 Never-married Exec-managerial Own-child
## 19 Never-married Prof-specialty Not-in-family
## 20 Never-married Other-service Not-in-family
## 21 Married-civ-spouse Craft-repair Husband
## 22 Never-married Sales Own-child
## 23 Married-civ-spouse Machine-op-inspct Husband
## 24 Never-married Handlers-cleaners Own-child
## 25 Never-married Machine-op-inspct Not-in-family
## 26 Never-married Prof-specialty Not-in-family
## 27 Never-married Adm-clerical Not-in-family
## 28 Never-married Sales Own-child
## 29 Never-married Farming-fishing Own-child
## 30 Never-married Machine-op-inspct Own-child
## 31 Never-married Exec-managerial Not-in-family
## 32 Married-civ-spouse Sales Husband
## 33 Never-married Protective-serv Other-relative
## 34 Never-married Prof-specialty Not-in-family
## 35 Never-married Tech-support Own-child
## 36 Never-married Craft-repair Not-in-family
## 37 Never-married Sales Own-child
## 38 Never-married Prof-specialty Not-in-family
## 39 Never-married Other-service Unmarried
## 40 Never-married Tech-support Not-in-family
## 41 Never-married Craft-repair Own-child
## 42 Married-civ-spouse Prof-specialty Wife
## 43 Married-civ-spouse Sales Husband
## 44 Married-civ-spouse Craft-repair Husband
## 45 Never-married Adm-clerical Own-child
## 46 Married-civ-spouse Adm-clerical Other-relative
## 47 Married-civ-spouse Transport-moving Husband
## 48 Never-married Craft-repair Own-child
## 49 Married-civ-spouse Adm-clerical Husband
## 50 Never-married Other-service Own-child
## 51 Never-married Transport-moving Own-child
## 52 Married-civ-spouse Prof-specialty Husband
## 53 Married-civ-spouse Handlers-cleaners Husband
## 54 Never-married ? Own-child
## 55 Separated Other-service Not-in-family
## 56 Never-married Exec-managerial Other-relative
## 57 Never-married Exec-managerial Not-in-family
## 58 Divorced Machine-op-inspct Unmarried
## 59 Never-married Sales Not-in-family
## 60 Never-married ? Own-child
## 61 Never-married Priv-house-serv Other-relative
## 62 Never-married Prof-specialty Own-child
## 63 Never-married Exec-managerial Not-in-family
## 64 Married-spouse-absent Machine-op-inspct Not-in-family
## 65 Never-married ? Own-child
## 66 Never-married Other-service Own-child
## 67 Never-married Adm-clerical Not-in-family
## 68 Married-spouse-absent Sales Own-child
## 69 Never-married Sales Not-in-family
## 70 Married-civ-spouse Transport-moving Husband
## 71 Never-married Craft-repair Own-child
## 72 Never-married ? Own-child
## 73 Never-married Exec-managerial Own-child
## 74 Never-married Adm-clerical Not-in-family
## 75 Married-civ-spouse Protective-serv Husband
## 76 Never-married Other-service Not-in-family
## 77 Never-married Tech-support Own-child
## 78 Never-married Sales Not-in-family
## 79 Never-married ? Own-child
## 80 Never-married Adm-clerical Own-child
## 81 Widowed Craft-repair Unmarried
## 82 Never-married ? Own-child
## 83 Married-civ-spouse Prof-specialty Husband
## 84 Never-married Adm-clerical Own-child
## 85 Married-civ-spouse Craft-repair Husband
## 86 Never-married Handlers-cleaners Own-child
## 87 Never-married Tech-support Not-in-family
## 88 Never-married Exec-managerial Not-in-family
## 89 Never-married Protective-serv Not-in-family
## 90 Never-married Tech-support Not-in-family
## 91 Married-civ-spouse Exec-managerial Husband
## 92 Married-civ-spouse Adm-clerical Wife
## 93 Never-married Sales Not-in-family
## 94 Never-married Other-service Not-in-family
## 95 Never-married Other-service Not-in-family
## 96 Never-married Craft-repair Not-in-family
## 97 Never-married Farming-fishing Not-in-family
## 98 Married-spouse-absent Sales Not-in-family
## 99 Never-married Adm-clerical Own-child
## 100 Married-civ-spouse Prof-specialty Wife
## 101 Never-married Exec-managerial Own-child
## 102 Married-civ-spouse Exec-managerial Husband
## 103 Never-married Prof-specialty Own-child
## 104 Never-married Sales Own-child
## 105 Never-married Sales Not-in-family
## 106 Never-married Craft-repair Own-child
## 107 Married-civ-spouse Craft-repair Own-child
## 108 Never-married Other-service Own-child
## 109 Married-civ-spouse Prof-specialty Wife
## 110 Never-married Prof-specialty Not-in-family
## 111 Never-married Exec-managerial Not-in-family
## 112 Never-married Prof-specialty Own-child
## 113 Married-civ-spouse Machine-op-inspct Husband
## 114 Never-married Sales Not-in-family
## 115 Married-civ-spouse Machine-op-inspct Husband
## 116 Never-married Other-service Own-child
## 117 Never-married Craft-repair Not-in-family
## 118 Married-civ-spouse Adm-clerical Wife
## 119 Never-married Exec-managerial Not-in-family
## 120 Never-married Adm-clerical Not-in-family
## 121 Married-civ-spouse ? Husband
## 122 Married-civ-spouse Exec-managerial Husband
## 123 Never-married Exec-managerial Not-in-family
## 124 Married-civ-spouse Sales Husband
## 125 Never-married ? Own-child
## 126 Never-married Craft-repair Own-child
## 127 Never-married Craft-repair Not-in-family
## 128 Never-married Exec-managerial Not-in-family
## 129 Married-civ-spouse Adm-clerical Husband
## 130 Never-married Other-service Other-relative
## 131 Never-married Sales Not-in-family
## 132 Married-civ-spouse Craft-repair Husband
## 133 Separated Exec-managerial Own-child
## 134 Married-spouse-absent Handlers-cleaners Own-child
## 135 Married-civ-spouse Machine-op-inspct Husband
## 136 Married-civ-spouse Craft-repair Husband
## 137 Married-civ-spouse Sales Husband
## 138 Never-married Handlers-cleaners Own-child
## 139 Never-married Adm-clerical Own-child
## 140 Never-married Craft-repair Own-child
## 141 Never-married Craft-repair Not-in-family
## 142 Married-civ-spouse Prof-specialty Husband
## 143 Divorced Tech-support Own-child
## 144 Divorced Protective-serv Own-child
## 145 Never-married ? Own-child
## 146 Never-married Other-service Own-child
## 147 Never-married Other-service Own-child
## 148 Married-civ-spouse Sales Husband
## 149 Never-married Craft-repair Not-in-family
## 150 Never-married Transport-moving Not-in-family
## 151 Never-married Prof-specialty Own-child
## 152 Married-civ-spouse Prof-specialty Husband
## 153 Never-married Sales Not-in-family
## 154 Married-civ-spouse Adm-clerical Husband
## 155 Never-married Adm-clerical Own-child
## 156 Married-civ-spouse Craft-repair Husband
## 157 Never-married Machine-op-inspct Not-in-family
## 158 Separated Craft-repair Not-in-family
## 159 Never-married Adm-clerical Not-in-family
## 160 Never-married Other-service Own-child
## 161 Never-married Craft-repair Not-in-family
## 162 Never-married Prof-specialty Not-in-family
## 163 Widowed Adm-clerical Unmarried
## 164 Never-married Prof-specialty Not-in-family
## 165 Never-married Other-service Own-child
## 166 Never-married ? Own-child
## 167 Never-married Other-service Not-in-family
## 168 Never-married ? Own-child
## 169 Never-married Prof-specialty Not-in-family
## 170 Never-married Sales Not-in-family
## 171 Never-married Farming-fishing Own-child
## 172 Never-married Protective-serv Own-child
## 173 Separated Craft-repair Unmarried
## 174 Never-married Sales Own-child
## 175 Never-married Adm-clerical Not-in-family
## 176 Married-civ-spouse Other-service Wife
## 177 Never-married Handlers-cleaners Own-child
## 178 Married-civ-spouse Tech-support Husband
## 179 Never-married Adm-clerical Own-child
## 180 Married-civ-spouse Prof-specialty Husband
## 181 Never-married Adm-clerical Not-in-family
## 182 Married-civ-spouse Craft-repair Husband
## 183 Divorced Exec-managerial Not-in-family
## 184 Never-married Other-service Own-child
## 185 Married-civ-spouse Adm-clerical Wife
## 186 Never-married ? Not-in-family
## 187 Never-married Handlers-cleaners Not-in-family
## 188 Never-married Prof-specialty Not-in-family
## 189 Never-married Sales Own-child
## 190 Never-married Adm-clerical Own-child
## 191 Married-civ-spouse Machine-op-inspct Husband
## 192 Never-married ? Own-child
## 193 Never-married Exec-managerial Own-child
## 194 Never-married Adm-clerical Not-in-family
## 195 Never-married ? Own-child
## 196 Never-married Other-service Own-child
## 197 Never-married Sales Own-child
## 198 Married-civ-spouse Exec-managerial Husband
## 199 Never-married Machine-op-inspct Own-child
## 200 Never-married ? Own-child
## 201 Never-married Prof-specialty Not-in-family
## 202 Never-married Sales Other-relative
## 203 Married-civ-spouse Farming-fishing Husband
## 204 Never-married Handlers-cleaners Other-relative
## 205 Never-married Sales Own-child
## 206 Married-civ-spouse Machine-op-inspct Husband
## 207 Married-civ-spouse ? Husband
## 208 Never-married Handlers-cleaners Own-child
## 209 Never-married Adm-clerical Own-child
## 210 Never-married Adm-clerical Own-child
## 211 Never-married ? Other-relative
## 212 Never-married Other-service Own-child
## 213 Never-married Handlers-cleaners Own-child
## 214 Never-married Other-service Own-child
## 215 Never-married Sales Own-child
## 216 Never-married Adm-clerical Not-in-family
## 217 Married-civ-spouse Transport-moving Husband
## 218 Never-married ? Own-child
## 219 Never-married Adm-clerical Not-in-family
## 220 Married-civ-spouse Craft-repair Husband
## 221 Married-civ-spouse Sales Husband
## 222 Married-civ-spouse Prof-specialty Husband
## 223 Never-married Tech-support Own-child
## 224 Never-married ? Not-in-family
## 225 Married-civ-spouse ? Wife
## 226 Divorced Other-service Not-in-family
## 227 Never-married Sales Own-child
## 228 Never-married Sales Own-child
## 229 Married-civ-spouse Sales Wife
## 230 Never-married Other-service Not-in-family
## 231 Divorced Craft-repair Not-in-family
## 232 Married-civ-spouse Handlers-cleaners Husband
## 233 Married-civ-spouse ? Wife
## 234 Never-married Prof-specialty Not-in-family
## 235 Never-married Craft-repair Own-child
## 236 Married-civ-spouse Craft-repair Husband
## 237 Married-civ-spouse Tech-support Husband
## 238 Widowed Sales Unmarried
## 239 Never-married Machine-op-inspct Not-in-family
## 240 Married-civ-spouse Exec-managerial Husband
## 241 Married-civ-spouse Exec-managerial Wife
## 242 Married-civ-spouse Prof-specialty Husband
## 243 Married-civ-spouse Prof-specialty Husband
## 244 Married-civ-spouse Craft-repair Husband
## 245 Never-married Sales Not-in-family
## 246 Married-civ-spouse Sales Wife
## 247 Never-married Transport-moving Not-in-family
## 248 Married-civ-spouse Prof-specialty Husband
## 249 Married-civ-spouse Craft-repair Husband
## 250 Never-married Adm-clerical Unmarried
## 251 Divorced Sales Not-in-family
## 252 Married-civ-spouse Exec-managerial Husband
## 253 Married-civ-spouse Exec-managerial Husband
## 254 Married-civ-spouse Transport-moving Husband
## 255 Never-married Other-service Not-in-family
## 256 Never-married Sales Not-in-family
## 257 Married-civ-spouse Exec-managerial Husband
## 258 Never-married Exec-managerial Not-in-family
## 259 Married-civ-spouse Prof-specialty Husband
## 260 Married-civ-spouse Exec-managerial Wife
## 261 Married-civ-spouse Craft-repair Husband
## 262 Divorced Craft-repair Not-in-family
## 263 Married-civ-spouse Prof-specialty Husband
## 264 Never-married Exec-managerial Unmarried
## 265 Married-civ-spouse Handlers-cleaners Husband
## 266 Married-spouse-absent Exec-managerial Not-in-family
## 267 Never-married Exec-managerial Other-relative
## 268 Married-civ-spouse Adm-clerical Husband
## 269 Married-civ-spouse Other-service Husband
## 270 Divorced Adm-clerical Own-child
## 271 Separated Machine-op-inspct Unmarried
## 272 Married-civ-spouse Exec-managerial Husband
## 273 Married-civ-spouse Exec-managerial Husband
## 274 Divorced Craft-repair Own-child
## 275 Married-civ-spouse Prof-specialty Husband
## 276 Divorced Farming-fishing Not-in-family
## 277 Never-married ? Not-in-family
## 278 Married-civ-spouse Prof-specialty Husband
## 279 Divorced Exec-managerial Unmarried
## 280 Married-civ-spouse Craft-repair Husband
## 281 Married-civ-spouse Sales Husband
## 282 Married-civ-spouse Exec-managerial Husband
## 283 Never-married Protective-serv Other-relative
## 284 Married-civ-spouse Exec-managerial Husband
## 285 Married-civ-spouse Craft-repair Husband
## 286 Married-civ-spouse Prof-specialty Husband
## 287 Married-civ-spouse Exec-managerial Husband
## 288 Divorced Craft-repair Not-in-family
## 289 Married-civ-spouse Machine-op-inspct Husband
## 290 Never-married Craft-repair Not-in-family
## 291 Married-civ-spouse Prof-specialty Husband
## 292 Married-civ-spouse Exec-managerial Husband
## 293 Married-civ-spouse Exec-managerial Husband
## 294 Married-civ-spouse Craft-repair Husband
## 295 Married-civ-spouse Transport-moving Husband
## 296 Married-civ-spouse Prof-specialty Husband
## 297 Married-civ-spouse Exec-managerial Husband
## 298 Married-civ-spouse Protective-serv Husband
## 299 Married-civ-spouse Prof-specialty Husband
## 300 Married-civ-spouse Adm-clerical Wife
## 301 Married-civ-spouse Prof-specialty Husband
## 302 Married-civ-spouse Prof-specialty Wife
## 303 Married-civ-spouse Sales Husband
## 304 Married-civ-spouse Craft-repair Husband
## 305 Married-civ-spouse Adm-clerical Wife
## 306 Married-civ-spouse Handlers-cleaners Husband
## 307 Never-married Tech-support Not-in-family
## 308 Married-civ-spouse Transport-moving Husband
## 309 Married-civ-spouse Exec-managerial Husband
## 310 Never-married Sales Other-relative
## 311 Married-civ-spouse Exec-managerial Wife
## 312 Married-civ-spouse Craft-repair Husband
## 313 Never-married Prof-specialty Not-in-family
## 314 Married-civ-spouse Craft-repair Husband
## 315 Married-civ-spouse Craft-repair Husband
## 316 Never-married Transport-moving Not-in-family
## 317 Married-civ-spouse Farming-fishing Husband
## 318 Married-civ-spouse Exec-managerial Husband
## 319 Married-civ-spouse Sales Husband
## 320 Married-civ-spouse Prof-specialty Husband
## 321 Never-married Prof-specialty Not-in-family
## 322 Married-civ-spouse Exec-managerial Husband
## 323 Married-civ-spouse Prof-specialty Wife
## 324 Married-civ-spouse Exec-managerial Wife
## 325 Married-civ-spouse Adm-clerical Husband
## 326 Married-civ-spouse Adm-clerical Husband
## 327 Never-married Adm-clerical Own-child
## 328 Divorced Machine-op-inspct Unmarried
## 329 Divorced Prof-specialty Not-in-family
## 330 Separated Machine-op-inspct Not-in-family
## 331 Married-civ-spouse Prof-specialty Husband
## 332 Never-married Prof-specialty Not-in-family
## 333 Married-civ-spouse Exec-managerial Wife
## 334 Married-civ-spouse Exec-managerial Husband
## 335 Married-civ-spouse Prof-specialty Husband
## 336 Never-married Other-service Unmarried
## 337 Married-civ-spouse Adm-clerical Husband
## 338 Married-civ-spouse Farming-fishing Husband
## 339 Married-civ-spouse Craft-repair Husband
## 340 Never-married Exec-managerial Not-in-family
## 341 Divorced Handlers-cleaners Other-relative
## 342 Married-civ-spouse Sales Husband
## 343 Married-civ-spouse Exec-managerial Husband
## 344 Married-civ-spouse Craft-repair Husband
## 345 Married-civ-spouse Prof-specialty Wife
## 346 Married-civ-spouse Transport-moving Wife
## 347 Never-married Exec-managerial Not-in-family
## 348 Married-civ-spouse Craft-repair Husband
## 349 Never-married Adm-clerical Not-in-family
## 350 Married-civ-spouse Prof-specialty Husband
## 351 Never-married Machine-op-inspct Own-child
## 352 Never-married Other-service Own-child
## 353 Married-civ-spouse Prof-specialty Husband
## 354 Never-married Exec-managerial Own-child
## 355 Married-civ-spouse Craft-repair Husband
## 356 Married-civ-spouse Handlers-cleaners Husband
## 357 Married-civ-spouse Protective-serv Husband
## 358 Married-civ-spouse Prof-specialty Husband
## 359 Never-married Craft-repair Not-in-family
## 360 Married-civ-spouse Handlers-cleaners Husband
## 361 Married-civ-spouse Exec-managerial Husband
## 362 Married-civ-spouse Craft-repair Husband
## 363 Never-married Craft-repair Not-in-family
## 364 Married-civ-spouse Exec-managerial Husband
## 365 Never-married Sales Not-in-family
## 366 Married-civ-spouse Exec-managerial Husband
## 367 Widowed Craft-repair Unmarried
## 368 Married-civ-spouse Sales Husband
## 369 Married-civ-spouse Prof-specialty Husband
## 370 Never-married Exec-managerial Not-in-family
## 371 Married-civ-spouse Transport-moving Husband
## 372 Married-civ-spouse Exec-managerial Husband
## 373 Married-civ-spouse Transport-moving Husband
## 374 Married-civ-spouse Craft-repair Husband
## 375 Never-married Tech-support Not-in-family
## 376 Married-civ-spouse Sales Husband
## 377 Never-married Exec-managerial Not-in-family
## 378 Married-spouse-absent Adm-clerical Unmarried
## 379 Married-civ-spouse Prof-specialty Husband
## 380 Married-civ-spouse Prof-specialty Husband
## 381 Married-civ-spouse Prof-specialty Husband
## 382 Never-married Handlers-cleaners Not-in-family
## 383 Never-married Protective-serv Not-in-family
## 384 Never-married Prof-specialty Not-in-family
## 385 Married-civ-spouse Craft-repair Husband
## 386 Divorced Adm-clerical Unmarried
## 387 Married-civ-spouse Exec-managerial Husband
## 388 Married-civ-spouse Sales Husband
## 389 Never-married Tech-support Not-in-family
## 390 Divorced Adm-clerical Not-in-family
## 391 Married-civ-spouse Transport-moving Husband
## 392 Married-civ-spouse Adm-clerical Husband
## 393 Married-civ-spouse Exec-managerial Husband
## 394 Married-civ-spouse Adm-clerical Wife
## 395 Married-civ-spouse Sales Husband
## 396 Married-civ-spouse Prof-specialty Husband
## 397 Married-civ-spouse Craft-repair Husband
## 398 Never-married Craft-repair Not-in-family
## 399 Divorced Other-service Unmarried
## 400 Married-civ-spouse Craft-repair Husband
## 401 Married-civ-spouse Prof-specialty Husband
## 402 Married-civ-spouse Adm-clerical Wife
## 403 Married-civ-spouse Tech-support Husband
## 404 Divorced Transport-moving Not-in-family
## 405 Divorced Craft-repair Not-in-family
## 406 Married-civ-spouse Sales Husband
## 407 Married-civ-spouse Tech-support Husband
## 408 Never-married Machine-op-inspct Not-in-family
## 409 Never-married Sales Own-child
## 410 Married-civ-spouse Prof-specialty Wife
## 411 Married-civ-spouse Craft-repair Husband
## 412 Never-married Adm-clerical Other-relative
## 413 Married-civ-spouse Sales Husband
## 414 Separated Exec-managerial Not-in-family
## 415 Divorced Sales Not-in-family
## 416 Married-civ-spouse Prof-specialty Husband
## 417 Married-civ-spouse Exec-managerial Husband
## 418 Married-spouse-absent Machine-op-inspct Not-in-family
## 419 Married-civ-spouse Sales Husband
## 420 Married-civ-spouse Sales Husband
## 421 Married-civ-spouse Machine-op-inspct Husband
## 422 Never-married Exec-managerial Not-in-family
## 423 Married-civ-spouse Prof-specialty Husband
## 424 Married-civ-spouse Sales Husband
## 425 Married-civ-spouse Craft-repair Husband
## 426 Married-civ-spouse Protective-serv Husband
## 427 Married-civ-spouse Sales Husband
## 428 Married-civ-spouse Exec-managerial Husband
## 429 Divorced Craft-repair Not-in-family
## 430 Never-married Handlers-cleaners Not-in-family
## 431 Married-civ-spouse Farming-fishing Husband
## 432 Married-civ-spouse Sales Husband
## 433 Never-married Prof-specialty Not-in-family
## 434 Widowed Other-service Not-in-family
## 435 Married-civ-spouse Prof-specialty Wife
## 436 Divorced Sales Unmarried
## 437 Married-civ-spouse Exec-managerial Husband
## 438 Never-married Prof-specialty Not-in-family
## 439 Never-married Machine-op-inspct Not-in-family
## 440 Married-civ-spouse Exec-managerial Wife
## 441 Married-civ-spouse Exec-managerial Husband
## 442 Never-married Tech-support Not-in-family
## 443 Never-married Prof-specialty Own-child
## 444 Divorced Prof-specialty Unmarried
## 445 Married-civ-spouse Machine-op-inspct Husband
## 446 Married-civ-spouse Exec-managerial Husband
## 447 Married-civ-spouse Exec-managerial Husband
## 448 Divorced Sales Not-in-family
## 449 Never-married Sales Own-child
## 450 Separated Adm-clerical Unmarried
## 451 Married-civ-spouse Machine-op-inspct Husband
## 452 Married-civ-spouse Exec-managerial Husband
## 453 Married-civ-spouse Machine-op-inspct Husband
## 454 Never-married Craft-repair Not-in-family
## 455 Never-married Transport-moving Own-child
## 456 Married-civ-spouse Prof-specialty Husband
## 457 Married-civ-spouse Adm-clerical Wife
## 458 Never-married Exec-managerial Not-in-family
## 459 Divorced Adm-clerical Own-child
## 460 Married-civ-spouse Exec-managerial Husband
## 461 Married-civ-spouse Sales Husband
## 462 Married-civ-spouse Other-service Wife
## 463 Never-married Sales Not-in-family
## 464 Married-civ-spouse Sales Husband
## 465 Married-civ-spouse ? Wife
## 466 Divorced Handlers-cleaners Own-child
## 467 Married-civ-spouse Other-service Wife
## 468 Married-civ-spouse Exec-managerial Husband
## 469 Never-married Sales Unmarried
## 470 Never-married Sales Own-child
## 471 Never-married Craft-repair Not-in-family
## 472 Married-civ-spouse Sales Husband
## 473 Married-civ-spouse Adm-clerical Husband
## 474 Married-civ-spouse Exec-managerial Husband
## 475 Never-married Prof-specialty Not-in-family
## 476 Married-spouse-absent Transport-moving Other-relative
## 477 Separated Exec-managerial Own-child
## 478 Divorced Sales Not-in-family
## 479 Married-civ-spouse Adm-clerical Husband
## 480 Never-married Sales Not-in-family
## 481 Married-civ-spouse Prof-specialty Husband
## 482 Never-married Sales Not-in-family
## 483 Married-civ-spouse Craft-repair Husband
## 484 Divorced Machine-op-inspct Not-in-family
## 485 Married-civ-spouse Craft-repair Husband
## 486 Married-civ-spouse Exec-managerial Husband
## 487 Married-civ-spouse Tech-support Husband
## 488 Married-civ-spouse Adm-clerical Wife
## 489 Married-civ-spouse Craft-repair Husband
## 490 Never-married Exec-managerial Not-in-family
## 491 Married-civ-spouse Exec-managerial Husband
## 492 Married-civ-spouse Exec-managerial Husband
## 493 Married-civ-spouse Craft-repair Husband
## 494 Never-married Transport-moving Other-relative
## 495 Married-civ-spouse Sales Husband
## 496 Never-married Protective-serv Not-in-family
## 497 Married-civ-spouse Prof-specialty Husband
## 498 Married-civ-spouse Transport-moving Husband
## 499 Married-civ-spouse Sales Husband
## 500 Never-married Exec-managerial Not-in-family
## 501 Never-married Craft-repair Not-in-family
## 502 Married-civ-spouse Machine-op-inspct Husband
## 503 Married-civ-spouse Handlers-cleaners Husband
## 504 Never-married Craft-repair Not-in-family
## 505 Married-civ-spouse Sales Husband
## 506 Never-married Prof-specialty Not-in-family
## 507 Never-married Machine-op-inspct Other-relative
## 508 Never-married Transport-moving Not-in-family
## 509 Married-civ-spouse Sales Husband
## 510 Never-married Exec-managerial Other-relative
## 511 Married-civ-spouse Farming-fishing Wife
## 512 Married-civ-spouse Exec-managerial Husband
## 513 Married-civ-spouse Adm-clerical Wife
## 514 Married-civ-spouse ? Wife
## 515 Never-married Machine-op-inspct Not-in-family
## 516 Separated Craft-repair Not-in-family
## 517 Married-civ-spouse Farming-fishing Husband
## 518 Married-civ-spouse Craft-repair Own-child
## 519 Never-married Prof-specialty Not-in-family
## 520 Married-civ-spouse Sales Husband
## 521 Married-civ-spouse Tech-support Husband
## 522 Never-married Prof-specialty Not-in-family
## 523 Married-civ-spouse Prof-specialty Husband
## 524 Married-civ-spouse Prof-specialty Husband
## 525 Divorced Craft-repair Not-in-family
## 526 Separated Tech-support Not-in-family
## 527 Never-married Prof-specialty Not-in-family
## 528 Widowed Adm-clerical Unmarried
## 529 Married-civ-spouse Craft-repair Husband
## 530 Never-married Prof-specialty Not-in-family
## 531 Divorced Protective-serv Unmarried
## 532 Married-civ-spouse Adm-clerical Wife
## 533 Never-married Transport-moving Unmarried
## 534 Married-civ-spouse Craft-repair Husband
## 535 Married-civ-spouse Other-service Wife
## 536 Married-civ-spouse Craft-repair Husband
## 537 Married-civ-spouse Exec-managerial Husband
## 538 Never-married Machine-op-inspct Not-in-family
## 539 Married-civ-spouse Craft-repair Husband
## 540 Never-married Prof-specialty Not-in-family
## 541 Never-married Sales Not-in-family
## 542 Married-civ-spouse Craft-repair Husband
## 543 Married-civ-spouse Adm-clerical Husband
## 544 Married-civ-spouse Exec-managerial Husband
## 545 Never-married Prof-specialty Not-in-family
## 546 Married-civ-spouse Prof-specialty Husband
## 547 Married-civ-spouse Exec-managerial Wife
## 548 Married-civ-spouse Prof-specialty Husband
## 549 Married-civ-spouse Prof-specialty Husband
## 550 Married-civ-spouse Craft-repair Husband
## 551 Married-civ-spouse Prof-specialty Husband
## 552 Never-married Machine-op-inspct Not-in-family
## 553 Divorced Machine-op-inspct Not-in-family
## 554 Married-civ-spouse Prof-specialty Wife
## 555 Never-married Transport-moving Own-child
## 556 Married-civ-spouse Prof-specialty Husband
## 557 Married-civ-spouse Exec-managerial Husband
## 558 Married-civ-spouse Sales Husband
## 559 Married-civ-spouse Exec-managerial Husband
## 560 Married-civ-spouse Prof-specialty Husband
## 561 Married-civ-spouse Tech-support Husband
## 562 Married-civ-spouse Transport-moving Husband
## 563 Married-civ-spouse Sales Husband
## 564 Married-civ-spouse Prof-specialty Husband
## 565 Married-civ-spouse Machine-op-inspct Husband
## 566 Married-civ-spouse Prof-specialty Husband
## 567 Married-civ-spouse Sales Husband
## 568 Married-civ-spouse Craft-repair Husband
## 569 Never-married Adm-clerical Not-in-family
## 570 Married-civ-spouse Craft-repair Husband
## 571 Never-married Other-service Not-in-family
## 572 Married-civ-spouse Craft-repair Husband
## 573 Married-civ-spouse Adm-clerical Husband
## 574 Married-civ-spouse Adm-clerical Wife
## 575 Married-civ-spouse Sales Husband
## 576 Never-married Exec-managerial Not-in-family
## 577 Never-married Protective-serv Not-in-family
## 578 Never-married Exec-managerial Not-in-family
## 579 Never-married Other-service Not-in-family
## 580 Never-married Exec-managerial Not-in-family
## 581 Married-civ-spouse Exec-managerial Husband
## 582 Married-civ-spouse Craft-repair Husband
## 583 Married-civ-spouse Prof-specialty Wife
## 584 Never-married Prof-specialty Not-in-family
## 585 Separated Sales Not-in-family
## 586 Married-civ-spouse Prof-specialty Husband
## 587 Divorced Sales Not-in-family
## 588 Never-married Sales Not-in-family
## 589 Married-civ-spouse Sales Husband
## 590 Married-civ-spouse Sales Husband
## 591 Never-married Prof-specialty Not-in-family
## 592 Married-civ-spouse Prof-specialty Wife
## 593 Married-civ-spouse Protective-serv Husband
## 594 Married-civ-spouse Exec-managerial Husband
## 595 Married-civ-spouse Adm-clerical Husband
## 596 Married-civ-spouse Farming-fishing Husband
## 597 Married-civ-spouse Prof-specialty Husband
## 598 Married-civ-spouse Craft-repair Husband
## 599 Married-civ-spouse Exec-managerial Wife
## 600 Never-married Other-service Not-in-family
## 601 Married-civ-spouse Exec-managerial Husband
## 602 Married-civ-spouse Tech-support Husband
## 603 Separated Sales Not-in-family
## 604 Married-civ-spouse Tech-support Husband
## 605 Divorced Sales Own-child
## 606 Married-civ-spouse Prof-specialty Husband
## 607 Married-civ-spouse Other-service Husband
## 608 Married-civ-spouse Craft-repair Husband
## 609 Married-civ-spouse Craft-repair Not-in-family
## 610 Never-married Exec-managerial Not-in-family
## 611 Never-married Machine-op-inspct Own-child
## 612 Married-civ-spouse Craft-repair Husband
## 613 Never-married Craft-repair Not-in-family
## 614 Separated Craft-repair Not-in-family
## 615 Never-married Sales Own-child
## 616 Married-civ-spouse Craft-repair Husband
## 617 Married-civ-spouse Sales Husband
## 618 Never-married Farming-fishing Not-in-family
## 619 Married-civ-spouse Prof-specialty Wife
## 620 Married-civ-spouse Transport-moving Husband
## 621 Married-civ-spouse Craft-repair Husband
## 622 Married-civ-spouse Sales Husband
## 623 Divorced ? Not-in-family
## 624 Married-civ-spouse Exec-managerial Husband
## 625 Married-civ-spouse Protective-serv Husband
## 626 Never-married Adm-clerical Own-child
## 627 Married-civ-spouse Craft-repair Husband
## 628 Never-married Tech-support Not-in-family
## 629 Never-married Sales Other-relative
## 630 Married-civ-spouse Farming-fishing Husband
## 631 Married-civ-spouse Prof-specialty Wife
## 632 Married-civ-spouse Machine-op-inspct Husband
## 633 Never-married Handlers-cleaners Unmarried
## 634 Married-civ-spouse Adm-clerical Wife
## 635 Divorced Prof-specialty Unmarried
## 636 Never-married Craft-repair Not-in-family
## 637 Married-civ-spouse Machine-op-inspct Husband
## 638 Married-civ-spouse Prof-specialty Husband
## 639 Never-married Craft-repair Own-child
## 640 Married-civ-spouse ? Husband
## 641 Married-civ-spouse Exec-managerial Husband
## 642 Married-civ-spouse Adm-clerical Wife
## 643 Married-civ-spouse Exec-managerial Husband
## 644 Never-married Prof-specialty Not-in-family
## 645 Divorced Exec-managerial Not-in-family
## 646 Married-civ-spouse Prof-specialty Husband
## 647 Married-civ-spouse Adm-clerical Husband
## 648 Married-civ-spouse Sales Husband
## 649 Never-married Exec-managerial Not-in-family
## 650 Married-civ-spouse Exec-managerial Husband
## 651 Married-civ-spouse Adm-clerical Wife
## 652 Never-married Exec-managerial Unmarried
## 653 Never-married Other-service Not-in-family
## 654 Married-civ-spouse Sales Husband
## 655 Married-civ-spouse Sales Husband
## 656 Married-civ-spouse Prof-specialty Husband
## 657 Married-civ-spouse Adm-clerical Husband
## 658 Married-civ-spouse Sales Husband
## 659 Married-civ-spouse Exec-managerial Husband
## 660 Married-civ-spouse Machine-op-inspct Husband
## 661 Married-civ-spouse Craft-repair Husband
## 662 Married-civ-spouse Exec-managerial Husband
## 663 Married-civ-spouse Transport-moving Husband
## 664 Married-civ-spouse Transport-moving Husband
## 665 Never-married Adm-clerical Not-in-family
## 666 Married-civ-spouse Craft-repair Husband
## 667 Never-married Sales Not-in-family
## 668 Never-married Prof-specialty Not-in-family
## 669 Divorced Other-service Unmarried
## 670 Married-civ-spouse Sales Husband
## 671 Never-married Exec-managerial Not-in-family
## 672 Married-civ-spouse Sales Husband
## 673 Married-civ-spouse Sales Husband
## 674 Married-civ-spouse Exec-managerial Husband
## 675 Never-married Prof-specialty Not-in-family
## 676 Married-civ-spouse Tech-support Wife
## 677 Married-civ-spouse Craft-repair Husband
## 678 Divorced Other-service Not-in-family
## 679 Married-civ-spouse Prof-specialty Husband
## 680 Married-civ-spouse Exec-managerial Wife
## 681 Married-civ-spouse Transport-moving Husband
## 682 Married-civ-spouse Sales Husband
## 683 Married-civ-spouse Other-service Husband
## 684 Married-civ-spouse Craft-repair Husband
## 685 Married-civ-spouse Prof-specialty Husband
## 686 Married-civ-spouse Craft-repair Husband
## 687 Married-civ-spouse Prof-specialty Husband
## 688 Divorced Transport-moving Unmarried
## 689 Married-civ-spouse Transport-moving Husband
## 690 Divorced Exec-managerial Own-child
## 691 Married-civ-spouse Prof-specialty Wife
## 692 Married-civ-spouse Prof-specialty Husband
## 693 Never-married Prof-specialty Not-in-family
## 694 Never-married Prof-specialty Not-in-family
## 695 Divorced Craft-repair Not-in-family
## 696 Married-civ-spouse Tech-support Husband
## 697 Married-civ-spouse Craft-repair Husband
## 698 Married-civ-spouse Prof-specialty Wife
## 699 Divorced Exec-managerial Not-in-family
## 700 Divorced Craft-repair Not-in-family
## 701 Married-civ-spouse Adm-clerical Wife
## 702 Married-civ-spouse Exec-managerial Husband
## 703 Married-civ-spouse Craft-repair Husband
## 704 Married-civ-spouse Prof-specialty Husband
## 705 Married-civ-spouse Craft-repair Husband
## 706 Married-civ-spouse Exec-managerial Husband
## 707 Married-civ-spouse Prof-specialty Husband
## 708 Never-married Sales Not-in-family
## 709 Married-civ-spouse Craft-repair Husband
## 710 Married-civ-spouse Prof-specialty Wife
## 711 Married-civ-spouse Exec-managerial Husband
## 712 Married-civ-spouse Prof-specialty Husband
## 713 Married-civ-spouse Prof-specialty Husband
## 714 Married-civ-spouse Sales Husband
## 715 Divorced Exec-managerial Other-relative
## 716 Married-civ-spouse Craft-repair Husband
## 717 Married-civ-spouse Craft-repair Husband
## 718 Married-civ-spouse Craft-repair Husband
## 719 Married-civ-spouse Exec-managerial Husband
## 720 Married-civ-spouse Machine-op-inspct Wife
## 721 Married-civ-spouse Exec-managerial Husband
## 722 Married-civ-spouse Exec-managerial Husband
## 723 Married-civ-spouse Exec-managerial Husband
## 724 Married-civ-spouse Craft-repair Husband
## 725 Married-civ-spouse Exec-managerial Husband
## 726 Married-civ-spouse Handlers-cleaners Husband
## 727 Married-civ-spouse Exec-managerial Husband
## 728 Married-civ-spouse Exec-managerial Husband
## 729 Married-civ-spouse Craft-repair Husband
## 730 Married-civ-spouse Adm-clerical Wife
## 731 Divorced Craft-repair Not-in-family
## 732 Married-civ-spouse Prof-specialty Husband
## 733 Married-civ-spouse Prof-specialty Husband
## 734 Never-married Exec-managerial Unmarried
## 735 Married-civ-spouse Sales Husband
## 736 Married-civ-spouse Exec-managerial Husband
## 737 Divorced Exec-managerial Not-in-family
## 738 Never-married ? Not-in-family
## 739 Divorced Exec-managerial Unmarried
## 740 Divorced Sales Not-in-family
## 741 Married-civ-spouse Sales Husband
## 742 Married-civ-spouse Exec-managerial Husband
## 743 Never-married Tech-support Not-in-family
## 744 Married-civ-spouse Exec-managerial Husband
## 745 Married-civ-spouse Prof-specialty Husband
## 746 Divorced Prof-specialty Unmarried
## 747 Married-civ-spouse Other-service Husband
## 748 Never-married Prof-specialty Not-in-family
## 749 Widowed Exec-managerial Unmarried
## 750 Married-civ-spouse Prof-specialty Husband
## 751 Married-civ-spouse Tech-support Husband
## 752 Married-civ-spouse Exec-managerial Husband
## 753 Married-civ-spouse Exec-managerial Husband
## 754 Married-civ-spouse Farming-fishing Husband
## 755 Married-civ-spouse Exec-managerial Husband
## 756 Married-civ-spouse Sales Husband
## 757 Divorced Exec-managerial Unmarried
## 758 Married-civ-spouse Adm-clerical Wife
## 759 Married-civ-spouse Exec-managerial Husband
## 760 Married-civ-spouse Protective-serv Husband
## 761 Married-civ-spouse Sales Husband
## 762 Married-civ-spouse Prof-specialty Husband
## 763 Divorced Exec-managerial Unmarried
## 764 Married-civ-spouse Prof-specialty Wife
## 765 Married-civ-spouse Exec-managerial Husband
## 766 Married-civ-spouse Prof-specialty Husband
## 767 Married-civ-spouse Sales Husband
## 768 Married-civ-spouse Sales Husband
## 769 Married-civ-spouse Tech-support Husband
## 770 Divorced Prof-specialty Not-in-family
## 771 Married-civ-spouse Transport-moving Husband
## 772 Married-civ-spouse Craft-repair Husband
## 773 Married-civ-spouse Prof-specialty Husband
## 774 Married-civ-spouse Exec-managerial Husband
## 775 Married-civ-spouse Craft-repair Husband
## 776 Married-civ-spouse Tech-support Husband
## 777 Married-civ-spouse Exec-managerial Husband
## 778 Never-married Adm-clerical Own-child
## 779 Divorced Sales Unmarried
## 780 Married-civ-spouse Adm-clerical Husband
## 781 Divorced Prof-specialty Unmarried
## 782 Married-civ-spouse Exec-managerial Husband
## 783 Married-civ-spouse Tech-support Husband
## 784 Divorced Sales Not-in-family
## 785 Never-married Prof-specialty Not-in-family
## 786 Married-civ-spouse Exec-managerial Wife
## 787 Married-civ-spouse Adm-clerical Husband
## 788 Married-civ-spouse Prof-specialty Husband
## 789 Married-civ-spouse Prof-specialty Husband
## 790 Married-civ-spouse Protective-serv Husband
## 791 Divorced Adm-clerical Not-in-family
## 792 Never-married Craft-repair Unmarried
## 793 Married-civ-spouse Exec-managerial Wife
## 794 Never-married Prof-specialty Not-in-family
## 795 Married-civ-spouse Exec-managerial Husband
## 796 Never-married Transport-moving Not-in-family
## 797 Married-civ-spouse Prof-specialty Wife
## 798 Never-married Tech-support Not-in-family
## 799 Married-civ-spouse Transport-moving Husband
## 800 Married-civ-spouse Exec-managerial Husband
## 801 Never-married Prof-specialty Not-in-family
## 802 Divorced Machine-op-inspct Not-in-family
## 803 Never-married Prof-specialty Not-in-family
## 804 Married-civ-spouse Prof-specialty Husband
## 805 Married-civ-spouse Protective-serv Husband
## 806 Divorced Craft-repair Not-in-family
## 807 Never-married Exec-managerial Not-in-family
## 808 Divorced Craft-repair Not-in-family
## 809 Married-civ-spouse Protective-serv Husband
## 810 Divorced Machine-op-inspct Not-in-family
## 811 Married-civ-spouse Prof-specialty Husband
## 812 Divorced Exec-managerial Not-in-family
## 813 Separated Machine-op-inspct Not-in-family
## 814 Married-civ-spouse Prof-specialty Husband
## 815 Married-civ-spouse Prof-specialty Husband
## 816 Married-civ-spouse Sales Husband
## 817 Married-civ-spouse Exec-managerial Husband
## 818 Married-civ-spouse Tech-support Husband
## 819 Never-married Other-service Unmarried
## 820 Married-civ-spouse Adm-clerical Husband
## 821 Divorced Prof-specialty Not-in-family
## 822 Married-civ-spouse Craft-repair Husband
## 823 Married-civ-spouse Craft-repair Husband
## 824 Married-civ-spouse Adm-clerical Husband
## 825 Married-civ-spouse Craft-repair Husband
## 826 Married-civ-spouse Sales Husband
## 827 Married-civ-spouse Other-service Husband
## 828 Married-civ-spouse Prof-specialty Wife
## 829 Married-civ-spouse Prof-specialty Husband
## 830 Married-civ-spouse Exec-managerial Wife
## 831 Never-married Prof-specialty Not-in-family
## 832 Never-married Adm-clerical Not-in-family
## 833 Married-civ-spouse Prof-specialty Husband
## 834 Married-civ-spouse Machine-op-inspct Wife
## 835 Married-civ-spouse Craft-repair Husband
## 836 Married-civ-spouse Prof-specialty Husband
## 837 Married-civ-spouse Craft-repair Husband
## 838 Married-civ-spouse Exec-managerial Husband
## 839 Married-civ-spouse Protective-serv Husband
## 840 Married-civ-spouse Exec-managerial Husband
## 841 Divorced Adm-clerical Unmarried
## 842 Married-civ-spouse Craft-repair Husband
## 843 Married-civ-spouse Prof-specialty Husband
## 844 Married-civ-spouse Farming-fishing Husband
## 845 Never-married Prof-specialty Not-in-family
## 846 Divorced Machine-op-inspct Not-in-family
## 847 Married-civ-spouse Sales Husband
## 848 Married-civ-spouse Handlers-cleaners Husband
## 849 Married-civ-spouse Other-service Husband
## 850 Married-civ-spouse Transport-moving Husband
## 851 Married-civ-spouse Sales Husband
## 852 Divorced Transport-moving Not-in-family
## 853 Divorced Transport-moving Own-child
## 854 Married-civ-spouse Sales Husband
## 855 Married-civ-spouse Handlers-cleaners Husband
## 856 Married-civ-spouse Exec-managerial Husband
## 857 Divorced Transport-moving Not-in-family
## 858 Never-married Sales Own-child
## 859 Married-civ-spouse Sales Husband
## 860 Married-civ-spouse Exec-managerial Husband
## 861 Divorced Sales Own-child
## 862 Separated Exec-managerial Not-in-family
## 863 Married-civ-spouse Exec-managerial Husband
## 864 Married-civ-spouse Prof-specialty Husband
## 865 Divorced Craft-repair Not-in-family
## 866 Married-civ-spouse Prof-specialty Husband
## 867 Never-married Adm-clerical Not-in-family
## 868 Divorced Sales Not-in-family
## 869 Married-civ-spouse Transport-moving Husband
## 870 Married-civ-spouse Exec-managerial Husband
## 871 Married-civ-spouse Sales Husband
## 872 Divorced Tech-support Own-child
## 873 Married-civ-spouse Sales Husband
## 874 Never-married Adm-clerical Not-in-family
## 875 Never-married Craft-repair Own-child
## 876 Married-civ-spouse Exec-managerial Husband
## 877 Married-civ-spouse Machine-op-inspct Husband
## 878 Married-civ-spouse Exec-managerial Husband
## 879 Married-civ-spouse Tech-support Husband
## 880 Divorced Adm-clerical Unmarried
## 881 Never-married Protective-serv Not-in-family
## 882 Divorced Machine-op-inspct Unmarried
## 883 Divorced Exec-managerial Unmarried
## 884 Married-civ-spouse ? Husband
## 885 Married-civ-spouse Exec-managerial Husband
## 886 Divorced Adm-clerical Unmarried
## 887 Married-civ-spouse Sales Husband
## 888 Married-civ-spouse Craft-repair Husband
## 889 Married-civ-spouse Prof-specialty Husband
## 890 Married-civ-spouse Exec-managerial Husband
## 891 Married-civ-spouse Prof-specialty Husband
## 892 Married-civ-spouse Exec-managerial Husband
## 893 Married-civ-spouse Sales Husband
## 894 Never-married Prof-specialty Not-in-family
## 895 Divorced Exec-managerial Not-in-family
## 896 Married-civ-spouse Farming-fishing Husband
## 897 Married-civ-spouse Transport-moving Husband
## 898 Married-civ-spouse Machine-op-inspct Husband
## 899 Married-civ-spouse Prof-specialty Wife
## 900 Married-civ-spouse Prof-specialty Husband
## 901 Divorced Adm-clerical Not-in-family
## 902 Divorced Craft-repair Not-in-family
## 903 Divorced Adm-clerical Not-in-family
## 904 Married-spouse-absent Priv-house-serv Unmarried
## 905 Married-civ-spouse Tech-support Husband
## 906 Married-civ-spouse Exec-managerial Husband
## 907 Never-married Machine-op-inspct Not-in-family
## 908 Married-civ-spouse Prof-specialty Husband
## 909 Married-civ-spouse Exec-managerial Husband
## 910 Married-civ-spouse Craft-repair Husband
## 911 Divorced Other-service Not-in-family
## 912 Married-civ-spouse Prof-specialty Husband
## 913 Divorced Prof-specialty Unmarried
## 914 Divorced Other-service Not-in-family
## 915 Divorced Exec-managerial Not-in-family
## 916 Married-civ-spouse Machine-op-inspct Husband
## 917 Married-civ-spouse Sales Husband
## 918 Married-civ-spouse Prof-specialty Husband
## 919 Divorced Other-service Not-in-family
## 920 Never-married Exec-managerial Not-in-family
## 921 Married-civ-spouse Adm-clerical Husband
## 922 Married-civ-spouse Craft-repair Husband
## 923 Married-civ-spouse Machine-op-inspct Husband
## 924 Married-civ-spouse Transport-moving Husband
## 925 Divorced Prof-specialty Not-in-family
## 926 Married-civ-spouse Exec-managerial Husband
## 927 Married-civ-spouse Exec-managerial Husband
## 928 Married-civ-spouse Exec-managerial Husband
## 929 Married-civ-spouse Prof-specialty Husband
## 930 Married-civ-spouse Prof-specialty Husband
## 931 Married-civ-spouse Prof-specialty Husband
## 932 Married-civ-spouse Prof-specialty Husband
## 933 Married-civ-spouse Tech-support Husband
## 934 Married-civ-spouse Craft-repair Husband
## 935 Married-civ-spouse Other-service Husband
## 936 Married-civ-spouse Exec-managerial Husband
## 937 Married-civ-spouse Exec-managerial Wife
## 938 Divorced Tech-support Unmarried
## 939 Married-civ-spouse Transport-moving Husband
## 940 Married-civ-spouse Sales Husband
## 941 Married-civ-spouse Craft-repair Husband
## 942 Married-civ-spouse Craft-repair Husband
## 943 Married-civ-spouse Craft-repair Husband
## 944 Divorced Machine-op-inspct Unmarried
## 945 Married-civ-spouse Machine-op-inspct Husband
## 946 Married-civ-spouse Exec-managerial Wife
## 947 Married-civ-spouse Exec-managerial Husband
## 948 Married-civ-spouse Prof-specialty Husband
## 949 Married-civ-spouse Prof-specialty Wife
## 950 Married-civ-spouse Other-service Husband
## 951 Married-civ-spouse Prof-specialty Husband
## 952 Widowed Machine-op-inspct Not-in-family
## 953 Married-civ-spouse Sales Husband
## 954 Married-civ-spouse Transport-moving Husband
## 955 Never-married Exec-managerial Not-in-family
## 956 Married-civ-spouse Prof-specialty Husband
## 957 Divorced Adm-clerical Unmarried
## 958 Separated Adm-clerical Unmarried
## 959 Divorced Sales Not-in-family
## 960 Married-civ-spouse Exec-managerial Husband
## 961 Divorced Machine-op-inspct Not-in-family
## 962 Never-married Sales Not-in-family
## 963 Married-civ-spouse Prof-specialty Husband
## 964 Married-civ-spouse Sales Husband
## 965 Married-civ-spouse Transport-moving Husband
## 966 Never-married Prof-specialty Unmarried
## 967 Married-civ-spouse Prof-specialty Husband
## 968 Married-civ-spouse Exec-managerial Husband
## 969 Married-civ-spouse Prof-specialty Husband
## 970 Married-civ-spouse Transport-moving Husband
## 971 Married-civ-spouse Sales Husband
## 972 Married-civ-spouse Machine-op-inspct Husband
## 973 Divorced Handlers-cleaners Own-child
## 974 Married-civ-spouse Prof-specialty Husband
## 975 Married-civ-spouse Tech-support Wife
## 976 Divorced Exec-managerial Unmarried
## 977 Married-civ-spouse Exec-managerial Husband
## 978 Divorced Adm-clerical Not-in-family
## 979 Divorced Prof-specialty Not-in-family
## 980 Divorced Craft-repair Not-in-family
## 981 Married-civ-spouse Exec-managerial Husband
## 982 Divorced Tech-support Unmarried
## 983 Divorced Adm-clerical Not-in-family
## 984 Separated Adm-clerical Unmarried
## 985 Never-married Sales Not-in-family
## 986 Married-civ-spouse Craft-repair Husband
## 987 Married-civ-spouse Sales Husband
## 988 Married-civ-spouse Prof-specialty Husband
## 989 Married-civ-spouse Prof-specialty Husband
## 990 Divorced Prof-specialty Not-in-family
## 991 Married-civ-spouse Exec-managerial Husband
## 992 Married-civ-spouse Handlers-cleaners Husband
## 993 Married-civ-spouse Exec-managerial Husband
## 994 Married-civ-spouse Exec-managerial Husband
## 995 Never-married Prof-specialty Not-in-family
## 996 Never-married Other-service Own-child
## 997 Married-civ-spouse Transport-moving Husband
## 998 Widowed ? Not-in-family
## 999 Married-civ-spouse Exec-managerial Husband
## 1000 Never-married Adm-clerical Not-in-family
## 1001 Married-civ-spouse Sales Husband
## 1002 Married-civ-spouse Prof-specialty Husband
## 1003 Married-civ-spouse Other-service Husband
## 1004 Divorced Exec-managerial Unmarried
## 1005 Married-civ-spouse Prof-specialty Husband
## 1006 Married-civ-spouse Protective-serv Husband
## 1007 Married-civ-spouse Craft-repair Husband
## 1008 Married-civ-spouse Tech-support Husband
## 1009 Married-civ-spouse Exec-managerial Husband
## 1010 Never-married Machine-op-inspct Unmarried
## 1011 Married-civ-spouse Exec-managerial Husband
## 1012 Divorced Sales Unmarried
## 1013 Divorced Prof-specialty Not-in-family
## 1014 Divorced Adm-clerical Not-in-family
## 1015 Divorced Handlers-cleaners Not-in-family
## 1016 Married-civ-spouse Craft-repair Husband
## 1017 Divorced Transport-moving Not-in-family
## 1018 Married-civ-spouse Sales Husband
## 1019 Married-civ-spouse Sales Husband
## 1020 Married-civ-spouse Prof-specialty Husband
## 1021 Married-spouse-absent Craft-repair Not-in-family
## 1022 Never-married Craft-repair Not-in-family
## 1023 Married-civ-spouse Prof-specialty Husband
## 1024 Married-civ-spouse Exec-managerial Husband
## 1025 Married-civ-spouse Sales Husband
## 1026 Never-married Prof-specialty Not-in-family
## 1027 Married-civ-spouse Prof-specialty Wife
## 1028 Divorced Transport-moving Not-in-family
## 1029 Married-civ-spouse Transport-moving Husband
## 1030 Married-civ-spouse ? Wife
## 1031 Married-civ-spouse Prof-specialty Husband
## 1032 Married-civ-spouse Sales Husband
## 1033 Married-civ-spouse Exec-managerial Husband
## 1034 Never-married Other-service Own-child
## 1035 Married-civ-spouse Exec-managerial Husband
## 1036 Married-civ-spouse Craft-repair Husband
## 1037 Married-civ-spouse Prof-specialty Husband
## 1038 Married-civ-spouse Craft-repair Husband
## 1039 Divorced Adm-clerical Not-in-family
## 1040 Divorced Exec-managerial Unmarried
## 1041 Married-civ-spouse Prof-specialty Husband
## 1042 Married-civ-spouse Prof-specialty Husband
## 1043 Divorced Tech-support Not-in-family
## 1044 Married-civ-spouse Prof-specialty Husband
## 1045 Married-civ-spouse Transport-moving Husband
## 1046 Married-civ-spouse Craft-repair Husband
## 1047 Married-civ-spouse Exec-managerial Husband
## 1048 Married-civ-spouse Adm-clerical Husband
## 1049 Married-civ-spouse Sales Husband
## 1050 Never-married Tech-support Not-in-family
## 1051 Married-civ-spouse Exec-managerial Husband
## 1052 Never-married Handlers-cleaners Not-in-family
## 1053 Married-civ-spouse Farming-fishing Husband
## 1054 Married-civ-spouse Prof-specialty Husband
## 1055 Married-civ-spouse Prof-specialty Wife
## 1056 Married-civ-spouse Exec-managerial Husband
## 1057 Married-civ-spouse Craft-repair Husband
## 1058 Married-civ-spouse Sales Husband
## 1059 Married-civ-spouse Sales Husband
## 1060 Married-civ-spouse Craft-repair Husband
## 1061 Married-civ-spouse Craft-repair Husband
## 1062 Married-civ-spouse Craft-repair Husband
## 1063 Married-civ-spouse Exec-managerial Husband
## 1064 Married-civ-spouse Adm-clerical Husband
## 1065 Married-civ-spouse Prof-specialty Husband
## 1066 Married-civ-spouse Sales Husband
## 1067 Divorced Adm-clerical Unmarried
## 1068 Married-civ-spouse Exec-managerial Husband
## 1069 Married-civ-spouse Farming-fishing Husband
## 1070 Never-married Prof-specialty Not-in-family
## 1071 Never-married Prof-specialty Not-in-family
## 1072 Married-civ-spouse Craft-repair Husband
## 1073 Married-civ-spouse Craft-repair Husband
## 1074 Married-civ-spouse Machine-op-inspct Husband
## 1075 Married-civ-spouse Sales Husband
## 1076 Married-civ-spouse Sales Wife
## 1077 Married-civ-spouse Transport-moving Husband
## 1078 Married-civ-spouse Sales Husband
## 1079 Never-married Prof-specialty Not-in-family
## 1080 Married-civ-spouse Sales Husband
## 1081 Divorced Craft-repair Not-in-family
## 1082 Married-civ-spouse Prof-specialty Wife
## 1083 Married-civ-spouse Prof-specialty Husband
## 1084 Married-civ-spouse Exec-managerial Husband
## 1085 Separated Exec-managerial Not-in-family
## 1086 Married-civ-spouse Transport-moving Husband
## 1087 Married-civ-spouse Prof-specialty Husband
## 1088 Married-civ-spouse Sales Husband
## 1089 Married-civ-spouse ? Wife
## 1090 Married-civ-spouse Tech-support Wife
## 1091 Separated Prof-specialty Own-child
## 1092 Married-civ-spouse Exec-managerial Husband
## 1093 Married-civ-spouse Machine-op-inspct Husband
## 1094 Married-civ-spouse Prof-specialty Husband
## 1095 Married-civ-spouse Transport-moving Husband
## 1096 Married-civ-spouse Craft-repair Husband
## 1097 Never-married Adm-clerical Other-relative
## 1098 Married-civ-spouse Exec-managerial Husband
## 1099 Married-civ-spouse Adm-clerical Husband
## 1100 Married-civ-spouse Craft-repair Husband
## 1101 Married-civ-spouse Prof-specialty Husband
## 1102 Married-civ-spouse Craft-repair Husband
## 1103 Married-civ-spouse Machine-op-inspct Husband
## 1104 Married-civ-spouse Sales Husband
## 1105 Married-civ-spouse Craft-repair Husband
## 1106 Married-civ-spouse Craft-repair Husband
## 1107 Married-civ-spouse Exec-managerial Husband
## 1108 Never-married Exec-managerial Not-in-family
## 1109 Married-civ-spouse Prof-specialty Husband
## 1110 Married-civ-spouse Prof-specialty Wife
## 1111 Never-married Other-service Not-in-family
## 1112 Never-married Prof-specialty Not-in-family
## 1113 Divorced Sales Own-child
## 1114 Married-civ-spouse Exec-managerial Husband
## 1115 Divorced Exec-managerial Not-in-family
## 1116 Married-civ-spouse Sales Husband
## 1117 Married-civ-spouse Exec-managerial Husband
## 1118 Married-civ-spouse Adm-clerical Husband
## 1119 Divorced Other-service Not-in-family
## 1120 Married-civ-spouse Prof-specialty Wife
## 1121 Separated Adm-clerical Not-in-family
## 1122 Never-married Protective-serv Not-in-family
## 1123 Married-civ-spouse Craft-repair Husband
## 1124 Married-civ-spouse Prof-specialty Wife
## 1125 Married-civ-spouse Prof-specialty Husband
## 1126 Married-civ-spouse Armed-Forces Husband
## 1127 Married-civ-spouse Craft-repair Husband
## 1128 Never-married Sales Not-in-family
## 1129 Married-civ-spouse Sales Husband
## 1130 Never-married Prof-specialty Not-in-family
## 1131 Divorced Tech-support Not-in-family
## 1132 Married-civ-spouse Prof-specialty Husband
## 1133 Never-married Craft-repair Not-in-family
## 1134 Never-married Prof-specialty Not-in-family
## 1135 Married-civ-spouse Exec-managerial Husband
## 1136 Divorced Prof-specialty Unmarried
## 1137 Married-civ-spouse Sales Husband
## 1138 Married-civ-spouse Tech-support Husband
## 1139 Married-civ-spouse Machine-op-inspct Husband
## 1140 Married-civ-spouse Craft-repair Husband
## 1141 Divorced Craft-repair Not-in-family
## 1142 Married-civ-spouse Prof-specialty Husband
## 1143 Married-civ-spouse Other-service Husband
## 1144 Married-civ-spouse Craft-repair Husband
## 1145 Married-civ-spouse Machine-op-inspct Husband
## 1146 Divorced Prof-specialty Unmarried
## 1147 Married-civ-spouse Handlers-cleaners Husband
## 1148 Divorced Tech-support Unmarried
## 1149 Married-civ-spouse Craft-repair Husband
## 1150 Married-civ-spouse Prof-specialty Husband
## 1151 Married-civ-spouse Craft-repair Husband
## 1152 Married-civ-spouse Craft-repair Husband
## 1153 Married-civ-spouse Exec-managerial Husband
## 1154 Divorced Craft-repair Not-in-family
## 1155 Married-civ-spouse Sales Husband
## 1156 Never-married Sales Not-in-family
## 1157 Married-civ-spouse Craft-repair Husband
## 1158 Married-civ-spouse Prof-specialty Husband
## 1159 Married-civ-spouse Prof-specialty Husband
## 1160 Married-civ-spouse Prof-specialty Husband
## 1161 Divorced Prof-specialty Not-in-family
## 1162 Married-civ-spouse Prof-specialty Husband
## 1163 Divorced Craft-repair Unmarried
## 1164 Married-civ-spouse Sales Husband
## 1165 Married-civ-spouse Transport-moving Husband
## 1166 Never-married Transport-moving Not-in-family
## 1167 Married-civ-spouse Prof-specialty Husband
## 1168 Married-civ-spouse Prof-specialty Husband
## 1169 Married-civ-spouse Exec-managerial Husband
## 1170 Married-civ-spouse Machine-op-inspct Husband
## 1171 Married-spouse-absent Sales Unmarried
## 1172 Married-civ-spouse Craft-repair Husband
## 1173 Married-civ-spouse Transport-moving Husband
## 1174 Married-civ-spouse Exec-managerial Wife
## 1175 Married-civ-spouse Machine-op-inspct Husband
## 1176 Married-civ-spouse Transport-moving Husband
## 1177 Never-married Exec-managerial Not-in-family
## 1178 Married-civ-spouse Exec-managerial Husband
## 1179 Married-civ-spouse Exec-managerial Husband
## 1180 Married-civ-spouse Transport-moving Husband
## 1181 Married-civ-spouse Prof-specialty Husband
## 1182 Married-civ-spouse Prof-specialty Husband
## 1183 Separated Craft-repair Not-in-family
## 1184 Married-civ-spouse Craft-repair Husband
## 1185 Married-civ-spouse Exec-managerial Husband
## 1186 Married-spouse-absent Other-service Not-in-family
## 1187 Married-civ-spouse Craft-repair Husband
## 1188 Divorced Prof-specialty Unmarried
## 1189 Married-civ-spouse Prof-specialty Husband
## 1190 Married-civ-spouse Exec-managerial Husband
## 1191 Married-civ-spouse Handlers-cleaners Husband
## 1192 Married-civ-spouse Adm-clerical Wife
## 1193 Married-civ-spouse Craft-repair Husband
## 1194 Married-civ-spouse Craft-repair Husband
## 1195 Married-civ-spouse Craft-repair Husband
## 1196 Divorced Craft-repair Not-in-family
## 1197 Married-civ-spouse Prof-specialty Husband
## 1198 Married-civ-spouse Exec-managerial Husband
## 1199 Married-civ-spouse Exec-managerial Husband
## 1200 Married-civ-spouse Craft-repair Husband
## 1201 Married-civ-spouse Exec-managerial Husband
## 1202 Married-civ-spouse Craft-repair Husband
## 1203 Never-married Craft-repair Not-in-family
## 1204 Married-civ-spouse Sales Husband
## 1205 Married-civ-spouse Prof-specialty Wife
## 1206 Never-married Prof-specialty Not-in-family
## 1207 Married-civ-spouse Craft-repair Wife
## 1208 Married-civ-spouse Protective-serv Husband
## 1209 Divorced Adm-clerical Not-in-family
## 1210 Married-civ-spouse Craft-repair Husband
## 1211 Divorced Other-service Not-in-family
## 1212 Married-civ-spouse Exec-managerial Husband
## 1213 Married-civ-spouse Craft-repair Husband
## 1214 Married-civ-spouse Exec-managerial Husband
## 1215 Married-civ-spouse Exec-managerial Husband
## 1216 Married-civ-spouse Exec-managerial Wife
## 1217 Divorced Farming-fishing Not-in-family
## 1218 Married-civ-spouse Machine-op-inspct Husband
## 1219 Married-civ-spouse Other-service Husband
## 1220 Married-civ-spouse Exec-managerial Husband
## 1221 Married-civ-spouse Prof-specialty Husband
## 1222 Divorced Exec-managerial Not-in-family
## 1223 Never-married Machine-op-inspct Not-in-family
## 1224 Married-civ-spouse Other-service Husband
## 1225 Married-civ-spouse Transport-moving Husband
## 1226 Married-civ-spouse Sales Husband
## 1227 Married-civ-spouse Prof-specialty Husband
## 1228 Married-civ-spouse Exec-managerial Husband
## 1229 Married-civ-spouse Prof-specialty Husband
## 1230 Married-civ-spouse Exec-managerial Husband
## 1231 Never-married Adm-clerical Not-in-family
## 1232 Married-civ-spouse Prof-specialty Wife
## 1233 Married-civ-spouse Prof-specialty Husband
## 1234 Married-civ-spouse Other-service Husband
## 1235 Married-civ-spouse Craft-repair Husband
## 1236 Separated Sales Unmarried
## 1237 Married-civ-spouse Sales Husband
## 1238 Never-married Other-service Not-in-family
## 1239 Married-civ-spouse Exec-managerial Husband
## 1240 Married-spouse-absent Handlers-cleaners Unmarried
## 1241 Married-civ-spouse Craft-repair Husband
## 1242 Married-civ-spouse Farming-fishing Husband
## 1243 Widowed Transport-moving Unmarried
## 1244 Married-civ-spouse Sales Husband
## 1245 Widowed Exec-managerial Not-in-family
## 1246 Married-civ-spouse Prof-specialty Husband
## 1247 Married-civ-spouse Prof-specialty Husband
## 1248 Married-civ-spouse Prof-specialty Wife
## 1249 Married-civ-spouse Machine-op-inspct Husband
## 1250 Married-civ-spouse Prof-specialty Wife
## 1251 Never-married Sales Not-in-family
## 1252 Married-civ-spouse Farming-fishing Husband
## 1253 Divorced Sales Unmarried
## 1254 Married-civ-spouse Transport-moving Husband
## 1255 Married-civ-spouse Craft-repair Husband
## 1256 Married-civ-spouse Other-service Husband
## 1257 Married-civ-spouse Prof-specialty Husband
## 1258 Married-civ-spouse Craft-repair Husband
## 1259 Married-civ-spouse Machine-op-inspct Husband
## 1260 Widowed Farming-fishing Unmarried
## 1261 Never-married Adm-clerical Not-in-family
## 1262 Married-civ-spouse Craft-repair Husband
## 1263 Married-civ-spouse Exec-managerial Wife
## 1264 Married-civ-spouse Exec-managerial Husband
## 1265 Married-civ-spouse ? Husband
## 1266 Never-married Prof-specialty Not-in-family
## 1267 Married-civ-spouse ? Husband
## 1268 Widowed Adm-clerical Not-in-family
## 1269 Married-civ-spouse Prof-specialty Husband
## 1270 Married-civ-spouse Prof-specialty Husband
## 1271 Never-married Handlers-cleaners Not-in-family
## 1272 Married-civ-spouse Prof-specialty Husband
## 1273 Married-civ-spouse Prof-specialty Husband
## 1274 Married-civ-spouse Exec-managerial Husband
## 1275 Married-civ-spouse Sales Wife
## 1276 Married-civ-spouse Adm-clerical Husband
## 1277 Widowed Exec-managerial Unmarried
## 1278 Married-civ-spouse Craft-repair Husband
## 1279 Divorced Transport-moving Not-in-family
## 1280 Married-civ-spouse Tech-support Husband
## 1281 Married-civ-spouse Farming-fishing Husband
## 1282 Married-civ-spouse Farming-fishing Husband
## 1283 Married-civ-spouse Exec-managerial Husband
## 1284 Married-civ-spouse Sales Husband
## 1285 Married-civ-spouse Sales Husband
## 1286 Married-civ-spouse Other-service Husband
## 1287 Married-civ-spouse Craft-repair Husband
## 1288 Married-civ-spouse Prof-specialty Husband
## 1289 Married-civ-spouse Prof-specialty Husband
## 1290 Never-married Prof-specialty Not-in-family
## 1291 Married-civ-spouse Prof-specialty Husband
## 1292 Divorced Prof-specialty Not-in-family
## 1293 Married-civ-spouse Exec-managerial Husband
## 1294 Married-civ-spouse Handlers-cleaners Husband
## 1295 Married-civ-spouse Prof-specialty Wife
## 1296 Married-civ-spouse Transport-moving Husband
## 1297 Married-civ-spouse ? Husband
## 1298 Married-civ-spouse Craft-repair Husband
## 1299 Married-civ-spouse Machine-op-inspct Husband
## 1300 Married-civ-spouse Exec-managerial Husband
## 1301 Married-civ-spouse Exec-managerial Husband
## 1302 Married-civ-spouse Exec-managerial Husband
## 1303 Married-civ-spouse Transport-moving Husband
## 1304 Divorced Prof-specialty Not-in-family
## 1305 Never-married Prof-specialty Not-in-family
## 1306 Married-civ-spouse Adm-clerical Wife
## 1307 Married-civ-spouse Craft-repair Husband
## 1308 Married-civ-spouse Adm-clerical Husband
## 1309 Never-married Tech-support Other-relative
## 1310 Married-civ-spouse Exec-managerial Husband
## 1311 Married-civ-spouse Prof-specialty Husband
## 1312 Married-civ-spouse Exec-managerial Husband
## 1313 Married-civ-spouse Adm-clerical Wife
## 1314 Married-civ-spouse Sales Husband
## 1315 Married-civ-spouse Sales Husband
## 1316 Married-civ-spouse Sales Husband
## 1317 Married-civ-spouse Prof-specialty Husband
## 1318 Widowed Adm-clerical Not-in-family
## 1319 Married-civ-spouse Prof-specialty Husband
## 1320 Separated Machine-op-inspct Not-in-family
## 1321 Married-civ-spouse Transport-moving Husband
## 1322 Married-civ-spouse Exec-managerial Husband
## 1323 Married-civ-spouse Exec-managerial Husband
## 1324 Married-civ-spouse Craft-repair Husband
## 1325 Married-civ-spouse Sales Husband
## 1326 Married-civ-spouse Prof-specialty Husband
## 1327 Married-civ-spouse Farming-fishing Husband
## 1328 Married-civ-spouse Prof-specialty Husband
## 1329 Married-civ-spouse Transport-moving Husband
## 1330 Married-civ-spouse Other-service Husband
## 1331 Married-civ-spouse Exec-managerial Husband
## 1332 Married-civ-spouse Exec-managerial Husband
## 1333 Married-civ-spouse ? Husband
## 1334 Married-civ-spouse Prof-specialty Wife
## 1335 Married-civ-spouse Protective-serv Husband
## 1336 Never-married Sales Not-in-family
## 1337 Widowed Exec-managerial Unmarried
## 1338 Married-civ-spouse Exec-managerial Husband
## 1339 Married-civ-spouse Prof-specialty Husband
## 1340 Widowed Sales Unmarried
## 1341 Married-civ-spouse Prof-specialty Husband
## 1342 Married-civ-spouse Sales Husband
## 1343 Married-civ-spouse Exec-managerial Husband
## 1344 Married-civ-spouse Exec-managerial Husband
## 1345 Married-civ-spouse Prof-specialty Husband
## 1346 Divorced Prof-specialty Not-in-family
## 1347 Married-civ-spouse Exec-managerial Husband
## 1348 Married-civ-spouse Tech-support Husband
## 1349 Divorced Exec-managerial Not-in-family
## 1350 Married-civ-spouse Craft-repair Husband
## 1351 Married-civ-spouse Adm-clerical Husband
## 1352 Married-civ-spouse Prof-specialty Husband
## 1353 Married-civ-spouse Tech-support Husband
## 1354 Married-civ-spouse ? Husband
## 1355 Married-civ-spouse Exec-managerial Husband
## 1356 Married-civ-spouse Transport-moving Husband
## 1357 Divorced Adm-clerical Unmarried
## 1358 Married-civ-spouse Craft-repair Husband
## 1359 Married-civ-spouse Adm-clerical Wife
## 1360 Married-civ-spouse Transport-moving Husband
## 1361 Widowed Prof-specialty Not-in-family
## 1362 Never-married Prof-specialty Unmarried
## 1363 Married-civ-spouse Craft-repair Husband
## 1364 Married-civ-spouse Sales Husband
## 1365 Widowed ? Not-in-family
## 1366 Married-civ-spouse Transport-moving Husband
## 1367 Married-civ-spouse Handlers-cleaners Husband
## 1368 Married-civ-spouse Prof-specialty Husband
## 1369 Married-civ-spouse Sales Husband
## 1370 Married-civ-spouse Exec-managerial Husband
## 1371 Married-civ-spouse Adm-clerical Husband
## 1372 Married-civ-spouse Transport-moving Husband
## 1373 Married-civ-spouse Exec-managerial Husband
## 1374 Married-civ-spouse Exec-managerial Husband
## 1375 Married-civ-spouse Transport-moving Husband
## 1376 Married-civ-spouse Craft-repair Husband
## 1377 Married-civ-spouse Exec-managerial Husband
## 1378 Divorced Sales Own-child
## 1379 Married-civ-spouse ? Husband
## 1380 Widowed Handlers-cleaners Unmarried
## 1381 Widowed Sales Not-in-family
## 1382 Married-civ-spouse Exec-managerial Husband
## 1383 Never-married Exec-managerial Unmarried
## 1384 Married-civ-spouse Exec-managerial Husband
## 1385 Widowed Adm-clerical Not-in-family
## 1386 Married-civ-spouse Sales Husband
## 1387 Married-civ-spouse Exec-managerial Husband
## 1388 Married-civ-spouse Protective-serv Husband
## 1389 Never-married Adm-clerical Not-in-family
## 1390 Divorced Tech-support Not-in-family
## 1391 Married-civ-spouse Prof-specialty Husband
## 1392 Married-civ-spouse Tech-support Husband
## 1393 Divorced Exec-managerial Not-in-family
## 1394 Married-civ-spouse Exec-managerial Husband
## 1395 Widowed Other-service Not-in-family
## 1396 Married-civ-spouse Exec-managerial Husband
## 1397 Married-civ-spouse Tech-support Husband
## 1398 Married-civ-spouse Machine-op-inspct Husband
## 1399 Married-civ-spouse Exec-managerial Husband
## 1400 Married-civ-spouse Prof-specialty Husband
## 1401 Married-civ-spouse Prof-specialty Husband
## 1402 Married-civ-spouse Exec-managerial Husband
## 1403 Married-civ-spouse Sales Husband
## 1404 Married-civ-spouse Exec-managerial Husband
## 1405 Married-civ-spouse Exec-managerial Husband
## 1406 Married-civ-spouse Craft-repair Husband
## 1407 Married-civ-spouse Exec-managerial Husband
## 1408 Divorced Machine-op-inspct Unmarried
## 1409 Widowed Other-service Not-in-family
## 1410 Married-civ-spouse Prof-specialty Husband
## 1411 Married-civ-spouse ? Husband
## 1412 Divorced Craft-repair Not-in-family
## 1413 Divorced Adm-clerical Unmarried
## 1414 Married-civ-spouse Exec-managerial Husband
## 1415 Married-civ-spouse Prof-specialty Husband
## 1416 Married-civ-spouse Prof-specialty Husband
## 1417 Divorced Sales Not-in-family
## 1418 Divorced Adm-clerical Not-in-family
## 1419 Married-civ-spouse Craft-repair Husband
## 1420 Separated Adm-clerical Unmarried
## 1421 Married-civ-spouse Prof-specialty Other-relative
## 1422 Married-civ-spouse Prof-specialty Wife
## 1423 Divorced Exec-managerial Not-in-family
## 1424 Married-civ-spouse Craft-repair Husband
## 1425 Married-civ-spouse ? Husband
## 1426 Married-civ-spouse Transport-moving Husband
## 1427 Married-civ-spouse Prof-specialty Husband
## 1428 Married-civ-spouse Craft-repair Husband
## 1429 Married-civ-spouse Craft-repair Husband
## 1430 Widowed ? Unmarried
## 1431 Divorced Exec-managerial Unmarried
## 1432 Never-married Prof-specialty Other-relative
## 1433 Married-civ-spouse Sales Husband
## 1434 Married-civ-spouse Craft-repair Husband
## 1435 Married-civ-spouse Transport-moving Husband
## 1436 Married-civ-spouse Prof-specialty Wife
## 1437 Married-civ-spouse Exec-managerial Husband
## 1438 Married-civ-spouse Tech-support Husband
## 1439 Divorced Exec-managerial Not-in-family
## 1440 Married-civ-spouse Exec-managerial Husband
## 1441 Divorced Other-service Not-in-family
## 1442 Divorced Prof-specialty Not-in-family
## 1443 Divorced Exec-managerial Not-in-family
## 1444 Married-civ-spouse Transport-moving Husband
## 1445 Married-civ-spouse Prof-specialty Husband
## 1446 Married-civ-spouse Prof-specialty Husband
## 1447 Married-civ-spouse Exec-managerial Husband
## 1448 Married-civ-spouse Farming-fishing Husband
## 1449 Married-civ-spouse Exec-managerial Husband
## 1450 Married-civ-spouse Transport-moving Husband
## 1451 Widowed Prof-specialty Not-in-family
## 1452 Divorced Prof-specialty Not-in-family
## 1453 Widowed Other-service Other-relative
## 1454 Married-civ-spouse Exec-managerial Husband
## 1455 Married-civ-spouse Prof-specialty Husband
## 1456 Separated ? Not-in-family
## 1457 Divorced Craft-repair Not-in-family
## 1458 Divorced Adm-clerical Unmarried
## 1459 Widowed Exec-managerial Not-in-family
## 1460 Married-civ-spouse Exec-managerial Wife
## 1461 Married-civ-spouse Craft-repair Husband
## 1462 Never-married Machine-op-inspct Not-in-family
## 1463 Married-civ-spouse Prof-specialty Husband
## 1464 Never-married Adm-clerical Not-in-family
## 1465 Married-civ-spouse Prof-specialty Husband
## 1466 Married-civ-spouse Craft-repair Husband
## 1467 Married-civ-spouse Craft-repair Husband
## 1468 Married-civ-spouse Craft-repair Husband
## 1469 Married-civ-spouse Craft-repair Husband
## 1470 Married-civ-spouse Prof-specialty Husband
## 1471 Divorced Adm-clerical Unmarried
## 1472 Married-civ-spouse Craft-repair Husband
## 1473 Separated Other-service Not-in-family
## 1474 Married-civ-spouse Prof-specialty Husband
## 1475 Divorced Sales Not-in-family
## 1476 Divorced Exec-managerial Not-in-family
## 1477 Married-civ-spouse Prof-specialty Husband
## 1478 Married-civ-spouse Prof-specialty Husband
## 1479 Divorced Adm-clerical Not-in-family
## 1480 Divorced Adm-clerical Not-in-family
## 1481 Widowed Sales Other-relative
## 1482 Married-civ-spouse Farming-fishing Husband
## 1483 Married-civ-spouse Exec-managerial Husband
## 1484 Separated Protective-serv Other-relative
## 1485 Never-married ? Not-in-family
## 1486 Never-married Prof-specialty Unmarried
## 1487 Married-civ-spouse Exec-managerial Husband
## 1488 Divorced Exec-managerial Unmarried
## 1489 Married-civ-spouse Transport-moving Husband
## 1490 Married-civ-spouse Prof-specialty Husband
## 1491 Married-civ-spouse Exec-managerial Husband
## 1492 Married-civ-spouse Tech-support Wife
## 1493 Married-civ-spouse Exec-managerial Husband
## 1494 Married-civ-spouse Sales Husband
## 1495 Never-married Exec-managerial Not-in-family
## 1496 Married-civ-spouse Sales Husband
## 1497 Divorced Adm-clerical Not-in-family
## 1498 Divorced Exec-managerial Not-in-family
## 1499 Married-civ-spouse Farming-fishing Husband
## 1500 Married-civ-spouse Exec-managerial Husband
## 1501 Divorced Prof-specialty Unmarried
## 1502 Married-civ-spouse Exec-managerial Husband
## 1503 Married-civ-spouse Sales Husband
## 1504 Married-civ-spouse Machine-op-inspct Husband
## 1505 Married-civ-spouse Exec-managerial Husband
## 1506 Married-civ-spouse Prof-specialty Husband
## 1507 Separated Prof-specialty Unmarried
## 1508 Married-civ-spouse Sales Husband
## 1509 Married-civ-spouse Prof-specialty Wife
## 1510 Married-civ-spouse Sales Husband
## 1511 Widowed Craft-repair Not-in-family
## 1512 Married-civ-spouse Machine-op-inspct Husband
## 1513 Married-civ-spouse Exec-managerial Husband
## 1514 Separated Prof-specialty Unmarried
## 1515 Married-civ-spouse Prof-specialty Husband
## 1516 Married-civ-spouse Farming-fishing Husband
## 1517 Married-civ-spouse Exec-managerial Husband
## 1518 Married-civ-spouse Protective-serv Husband
## 1519 Married-civ-spouse Exec-managerial Husband
## 1520 Married-civ-spouse Exec-managerial Husband
## 1521 Divorced Handlers-cleaners Not-in-family
## 1522 Married-civ-spouse Exec-managerial Husband
## 1523 Married-civ-spouse Craft-repair Husband
## 1524 Never-married Sales Not-in-family
## 1525 Married-civ-spouse Exec-managerial Husband
## 1526 Married-civ-spouse Handlers-cleaners Husband
## 1527 Married-civ-spouse Adm-clerical Husband
## 1528 Married-civ-spouse Prof-specialty Husband
## 1529 Married-civ-spouse Transport-moving Husband
## 1530 Married-civ-spouse Craft-repair Wife
## 1531 Divorced Transport-moving Not-in-family
## 1532 Divorced Exec-managerial Not-in-family
## 1533 Married-civ-spouse Sales Husband
## 1534 Married-civ-spouse Adm-clerical Husband
## 1535 Divorced Machine-op-inspct Unmarried
## 1536 Married-civ-spouse Sales Husband
## 1537 Married-civ-spouse Prof-specialty Husband
## 1538 Married-civ-spouse Machine-op-inspct Husband
## 1539 Married-civ-spouse Prof-specialty Husband
## 1540 Married-civ-spouse Exec-managerial Wife
## 1541 Married-civ-spouse Prof-specialty Husband
## 1542 Married-civ-spouse Adm-clerical Husband
## 1543 Divorced Adm-clerical Unmarried
## 1544 Widowed Adm-clerical Not-in-family
## 1545 Married-civ-spouse Exec-managerial Husband
## 1546 Never-married Transport-moving Not-in-family
## 1547 Married-civ-spouse Exec-managerial Husband
## 1548 Married-civ-spouse ? Husband
## 1549 Married-civ-spouse Sales Husband
## 1550 Married-civ-spouse Farming-fishing Husband
## 1551 Divorced Sales Not-in-family
## 1552 Married-civ-spouse Exec-managerial Husband
## 1553 Married-civ-spouse ? Wife
## 1554 Married-civ-spouse Exec-managerial Husband
## 1555 Married-civ-spouse Craft-repair Husband
## 1556 Married-civ-spouse Sales Husband
## 1557 Married-civ-spouse Exec-managerial Husband
## 1558 Divorced Sales Unmarried
## 1559 Married-civ-spouse Craft-repair Husband
## 1560 Married-civ-spouse Sales Husband
## 1561 Divorced Exec-managerial Not-in-family
## 1562 Married-civ-spouse Prof-specialty Husband
## 1563 Divorced Prof-specialty Not-in-family
## 1564 Married-civ-spouse Sales Husband
## 1565 Married-civ-spouse Sales Husband
## 1566 Divorced Prof-specialty Not-in-family
## 1567 Married-civ-spouse Prof-specialty Husband
## 1568 Married-civ-spouse Exec-managerial Husband
## 1569 Separated Exec-managerial Not-in-family
## 1570 Married-civ-spouse Sales Husband
## 1571 Married-civ-spouse Sales Husband
## 1572 Divorced ? Not-in-family
## 1573 Married-civ-spouse Craft-repair Husband
## 1574 Married-civ-spouse Tech-support Wife
## 1575 Married-civ-spouse Exec-managerial Husband
## 1576 Married-civ-spouse Craft-repair Husband
## 1577 Married-civ-spouse Prof-specialty Husband
## 1578 Married-civ-spouse Craft-repair Husband
## 1579 Married-civ-spouse Exec-managerial Husband
## 1580 Married-civ-spouse Transport-moving Husband
## 1581 Widowed Sales Not-in-family
## 1582 Married-civ-spouse Craft-repair Husband
## 1583 Married-civ-spouse Exec-managerial Husband
## 1584 Separated Craft-repair Not-in-family
## 1585 Married-civ-spouse Prof-specialty Husband
## 1586 Married-civ-spouse Craft-repair Husband
## 1587 Married-civ-spouse Exec-managerial Husband
## 1588 Married-civ-spouse Sales Husband
## 1589 Divorced Exec-managerial Not-in-family
## 1590 Married-civ-spouse ? Husband
## 1591 Married-civ-spouse Exec-managerial Husband
## 1592 Married-civ-spouse Prof-specialty Husband
## 1593 Married-civ-spouse Prof-specialty Husband
## 1594 Married-civ-spouse Adm-clerical Wife
## 1595 Married-civ-spouse Prof-specialty Husband
## 1596 Widowed Adm-clerical Unmarried
## 1597 Married-civ-spouse ? Husband
## 1598 Married-civ-spouse Protective-serv Husband
## 1599 Married-civ-spouse Adm-clerical Husband
## 1600 Married-civ-spouse Craft-repair Husband
## 1601 Never-married Prof-specialty Not-in-family
## 1602 Married-civ-spouse Sales Husband
## 1603 Married-civ-spouse Exec-managerial Husband
## 1604 Married-civ-spouse Exec-managerial Husband
## 1605 Married-civ-spouse Exec-managerial Husband
## 1606 Married-civ-spouse Exec-managerial Husband
## 1607 Married-civ-spouse Prof-specialty Husband
## 1608 Married-civ-spouse Craft-repair Husband
## 1609 Separated Adm-clerical Not-in-family
## 1610 Divorced Prof-specialty Not-in-family
## 1611 Married-civ-spouse Craft-repair Husband
## 1612 Married-civ-spouse Sales Husband
## 1613 Married-civ-spouse ? Husband
## 1614 Married-civ-spouse Craft-repair Husband
## 1615 Never-married ? Not-in-family
## 1616 Married-civ-spouse Exec-managerial Husband
## 1617 Divorced Craft-repair Unmarried
## 1618 Widowed ? Not-in-family
## 1619 Married-civ-spouse Prof-specialty Husband
## 1620 Married-civ-spouse Adm-clerical Husband
## 1621 Separated Sales Unmarried
## 1622 Married-civ-spouse ? Husband
## 1623 Married-civ-spouse Transport-moving Husband
## 1624 Married-civ-spouse Machine-op-inspct Husband
## 1625 Married-civ-spouse Exec-managerial Husband
## 1626 Married-civ-spouse Exec-managerial Wife
## 1627 Married-civ-spouse Craft-repair Husband
## 1628 Married-civ-spouse Transport-moving Husband
## 1629 Married-civ-spouse Exec-managerial Husband
## 1630 Married-civ-spouse Prof-specialty Wife
## 1631 Married-civ-spouse ? Husband
## 1632 Married-civ-spouse ? Husband
## 1633 Married-civ-spouse Craft-repair Husband
## 1634 Married-civ-spouse Transport-moving Husband
## 1635 Married-civ-spouse Transport-moving Husband
## 1636 Married-civ-spouse Exec-managerial Husband
## 1637 Married-civ-spouse Other-service Husband
## 1638 Married-civ-spouse Sales Husband
## 1639 Married-civ-spouse Sales Husband
## 1640 Married-civ-spouse Exec-managerial Husband
## 1641 Never-married Adm-clerical Not-in-family
## 1642 Separated Adm-clerical Unmarried
## 1643 Married-civ-spouse Exec-managerial Husband
## 1644 Married-civ-spouse Transport-moving Husband
## 1645 Married-civ-spouse Exec-managerial Husband
## 1646 Widowed Prof-specialty Not-in-family
## 1647 Married-civ-spouse Exec-managerial Husband
## 1648 Married-civ-spouse Tech-support Husband
## 1649 Married-civ-spouse Exec-managerial Wife
## 1650 Married-civ-spouse ? Husband
## 1651 Married-civ-spouse Exec-managerial Husband
## 1652 Never-married Exec-managerial Not-in-family
## 1653 Divorced Sales Unmarried
## 1654 Married-civ-spouse Exec-managerial Husband
## 1655 Married-civ-spouse Other-service Husband
## 1656 Divorced Prof-specialty Not-in-family
## 1657 Married-civ-spouse Prof-specialty Husband
## 1658 Married-civ-spouse Sales Husband
## 1659 Married-civ-spouse Tech-support Husband
## 1660 Divorced Craft-repair Unmarried
## 1661 Widowed Farming-fishing Not-in-family
## 1662 Widowed Protective-serv Not-in-family
## 1663 Married-civ-spouse Prof-specialty Husband
## 1664 Married-spouse-absent Sales Unmarried
## 1665 Married-civ-spouse Sales Husband
## 1666 Married-civ-spouse Tech-support Husband
## 1667 Married-civ-spouse ? Husband
## 1668 Married-civ-spouse Exec-managerial Husband
## 1669 Divorced Prof-specialty Unmarried
## 1670 Widowed Craft-repair Other-relative
## 1671 Married-civ-spouse Prof-specialty Husband
## 1672 Married-civ-spouse Prof-specialty Wife
## 1673 Married-civ-spouse Transport-moving Husband
## 1674 Married-civ-spouse Exec-managerial Husband
## 1675 Married-civ-spouse Sales Husband
## 1676 Married-civ-spouse Exec-managerial Husband
## 1677 Married-civ-spouse Craft-repair Husband
## 1678 Married-civ-spouse Exec-managerial Husband
## 1679 Married-civ-spouse Prof-specialty Wife
## 1680 Married-civ-spouse Sales Husband
## 1681 Married-civ-spouse Exec-managerial Husband
## 1682 Divorced Prof-specialty Not-in-family
## 1683 Married-civ-spouse Sales Husband
## 1684 Married-civ-spouse Exec-managerial Husband
## 1685 Divorced Adm-clerical Not-in-family
## 1686 Married-civ-spouse Exec-managerial Husband
## 1687 Widowed ? Unmarried
## 1688 Married-civ-spouse Prof-specialty Husband
## 1689 Divorced Exec-managerial Not-in-family
## 1690 Married-civ-spouse Craft-repair Husband
## 1691 Married-civ-spouse Exec-managerial Husband
## 1692 Widowed Prof-specialty Unmarried
## 1693 Married-civ-spouse Exec-managerial Husband
## 1694 Married-civ-spouse Craft-repair Husband
## 1695 Married-civ-spouse Farming-fishing Husband
## 1696 Married-civ-spouse Exec-managerial Husband
## 1697 Married-civ-spouse Farming-fishing Husband
## 1698 Married-civ-spouse Sales Husband
## 1699 Married-civ-spouse Exec-managerial Wife
## 1700 Married-civ-spouse Adm-clerical Husband
## 1701 Married-civ-spouse Prof-specialty Husband
## 1702 Married-civ-spouse Exec-managerial Husband
## 1703 Widowed Prof-specialty Unmarried
## 1704 Married-civ-spouse Exec-managerial Husband
## 1705 Married-civ-spouse Sales Husband
## 1706 Divorced Adm-clerical Unmarried
## 1707 Married-civ-spouse Craft-repair Husband
## 1708 Married-civ-spouse Prof-specialty Husband
## 1709 Divorced Exec-managerial Not-in-family
## 1710 Never-married Exec-managerial Other-relative
## 1711 Never-married Sales Not-in-family
## 1712 Married-civ-spouse Prof-specialty Husband
## 1713 Married-civ-spouse Prof-specialty Husband
## 1714 Married-civ-spouse Protective-serv Husband
## 1715 Married-civ-spouse Exec-managerial Husband
## 1716 Divorced Prof-specialty Not-in-family
## 1717 Married-civ-spouse Protective-serv Husband
## 1718 Married-civ-spouse Transport-moving Husband
## 1719 Widowed Craft-repair Not-in-family
## race sex capitalgain capitalloss Hoursperweek
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## 2 White Female 0 1762 40
## 3 White Male 0 1980 40
## 4 White Female 0 1876 40
## 5 Other Male 0 2179 40
## 6 White Female 0 1887 40
## 7 Asian-Pac-Islander Male 0 1980 40
## 8 Asian-Pac-Islander Female 0 1762 40
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## 218 Asian-Pac-Islander Female 0 1602 38
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## 1023 White Male 0 2415 55
## 1024 White Male 0 1977 40
## 1025 White Male 0 1887 40
## 1026 White Female 0 1876 40
## 1027 White Female 0 1902 52
## 1028 White Male 0 1590 40
## 1029 White Male 0 2179 45
## 1030 White Female 0 1887 48
## 1031 White Male 0 1887 50
## 1032 White Male 0 2179 52
## 1033 White Male 0 1977 43
## 1034 White Male 0 1602 35
## 1035 White Male 0 1485 40
## 1036 Black Male 0 1902 40
## 1037 White Male 0 1977 45
## 1038 White Male 0 2002 60
## 1039 Other Female 0 625 40
## 1040 Asian-Pac-Islander Male 0 2201 60
## 1041 White Male 0 1887 60
## 1042 Asian-Pac-Islander Male 0 2415 67
## 1043 White Male 0 1876 40
## 1044 White Male 0 1902 50
## 1045 White Male 0 1902 50
## 1046 White Male 0 2042 48
## 1047 White Male 0 1977 62
## 1048 White Male 0 1902 40
## 1049 White Male 0 2415 40
## 1050 White Male 0 1340 40
## 1051 White Male 0 1887 40
## 1052 Black Male 0 2205 40
## 1053 White Male 0 2415 99
## 1054 White Male 0 1902 45
## 1055 White Female 0 1977 15
## 1056 White Male 0 1848 40
## 1057 White Male 0 2129 40
## 1058 White Male 0 1887 55
## 1059 White Male 0 2002 55
## 1060 White Male 0 1740 40
## 1061 White Male 0 1485 40
## 1062 White Male 0 1887 40
## 1063 White Male 0 1887 50
## 1064 Asian-Pac-Islander Male 0 2415 35
## 1065 White Male 0 2415 80
## 1066 White Male 0 1887 40
## 1067 White Female 0 1590 43
## 1068 White Male 0 1902 50
## 1069 White Male 0 1485 70
## 1070 White Female 0 1741 35
## 1071 White Female 0 2258 60
## 1072 White Male 0 1902 40
## 1073 White Male 0 2415 40
## 1074 White Male 0 2179 40
## 1075 White Male 0 2415 99
## 1076 White Female 0 1902 35
## 1077 Black Male 0 1887 40
## 1078 White Male 0 1887 50
## 1079 White Female 0 1669 40
## 1080 White Male 0 1887 40
## 1081 White Male 0 2339 40
## 1082 White Female 0 1887 35
## 1083 White Male 0 1902 50
## 1084 White Male 0 1977 60
## 1085 White Male 0 1408 40
## 1086 White Male 0 1579 40
## 1087 White Male 0 1887 40
## 1088 White Male 0 2179 50
## 1089 White Female 0 1628 5
## 1090 White Female 0 1848 40
## 1091 White Female 0 3900 40
## 1092 White Male 0 1977 50
## 1093 Black Male 0 1887 40
## 1094 White Male 0 1902 50
## 1095 White Male 0 1902 40
## 1096 White Male 0 1628 48
## 1097 Black Female 0 2339 40
## 1098 White Male 0 1485 60
## 1099 White Male 0 1740 60
## 1100 White Male 0 1902 40
## 1101 White Male 0 1887 40
## 1102 White Male 0 1902 50
## 1103 White Male 0 1902 40
## 1104 White Male 0 1902 40
## 1105 White Male 0 2051 44
## 1106 White Male 0 1485 55
## 1107 White Male 0 1848 55
## 1108 White Male 0 1340 40
## 1109 White Male 0 1902 40
## 1110 White Female 0 1977 20
## 1111 White Male 0 1408 40
## 1112 White Female 0 1669 40
## 1113 White Male 0 1380 70
## 1114 White Male 0 1902 40
## 1115 White Female 0 1741 50
## 1116 White Male 0 1977 60
## 1117 White Male 0 1902 32
## 1118 White Male 0 1628 40
## 1119 White Male 0 1980 40
## 1120 White Female 0 1977 24
## 1121 White Female 0 2001 40
## 1122 White Male 0 2444 40
## 1123 White Male 0 1887 40
## 1124 Black Female 0 1887 40
## 1125 White Male 0 2415 55
## 1126 White Male 0 1887 40
## 1127 White Male 0 1902 40
## 1128 White Female 0 2444 45
## 1129 White Male 0 1485 60
## 1130 White Female 0 1741 40
## 1131 White Male 0 2258 40
## 1132 White Male 0 1485 50
## 1133 White Male 0 1408 40
## 1134 White Female 0 2559 60
## 1135 Asian-Pac-Islander Male 0 1977 60
## 1136 White Female 0 1380 40
## 1137 White Male 0 1902 55
## 1138 White Male 0 1977 40
## 1139 White Male 0 2051 40
## 1140 White Male 0 1977 45
## 1141 White Male 0 1741 40
## 1142 White Male 0 1977 45
## 1143 Black Male 0 1485 40
## 1144 White Male 0 1848 40
## 1145 White Male 0 1887 40
## 1146 White Female 0 2547 40
## 1147 White Male 0 2179 40
## 1148 Black Female 0 625 40
## 1149 White Male 0 1672 40
## 1150 White Male 0 1902 50
## 1151 White Male 0 2377 50
## 1152 White Male 0 1887 68
## 1153 White Male 0 1902 56
## 1154 White Male 0 1876 46
## 1155 White Male 0 1902 40
## 1156 White Male 0 2258 60
## 1157 White Male 0 1887 55
## 1158 White Male 0 1977 50
## 1159 Asian-Pac-Islander Male 0 1902 55
## 1160 White Male 0 1887 50
## 1161 White Female 0 1876 40
## 1162 White Male 0 1902 40
## 1163 White Male 0 625 40
## 1164 White Male 0 1887 60
## 1165 White Male 0 1848 65
## 1166 White Male 0 1590 48
## 1167 White Male 0 1848 45
## 1168 White Male 0 1887 40
## 1169 White Male 0 1740 40
## 1170 White Male 0 1977 40
## 1171 White Female 0 2472 70
## 1172 White Male 0 1902 40
## 1173 White Male 0 1887 40
## 1174 White Female 0 2415 55
## 1175 White Male 0 1579 42
## 1176 White Male 0 1887 60
## 1177 White Male 0 2824 40
## 1178 White Male 0 1887 47
## 1179 White Male 0 1902 15
## 1180 White Male 0 2002 45
## 1181 White Male 0 1887 45
## 1182 White Male 0 2415 90
## 1183 White Male 0 1876 55
## 1184 White Male 0 2051 40
## 1185 Black Male 0 1887 60
## 1186 White Female 0 1721 15
## 1187 Black Male 0 1485 40
## 1188 Black Female 0 3004 35
## 1189 White Male 0 1977 50
## 1190 White Male 0 1848 45
## 1191 White Male 0 1740 35
## 1192 Asian-Pac-Islander Female 0 1887 40
## 1193 White Male 0 1887 40
## 1194 White Male 0 2051 40
## 1195 White Male 0 1887 40
## 1196 White Male 0 2444 70
## 1197 Asian-Pac-Islander Male 0 1977 45
## 1198 White Male 0 1977 50
## 1199 White Male 0 1485 40
## 1200 White Male 0 1672 65
## 1201 White Male 0 1902 55
## 1202 White Male 0 2051 40
## 1203 White Male 0 1564 50
## 1204 White Male 0 1740 50
## 1205 White Female 0 1977 20
## 1206 White Female 0 1340 42
## 1207 White Female 0 1628 45
## 1208 White Male 0 1887 50
## 1209 Black Female 0 1741 40
## 1210 White Male 0 1902 99
## 1211 White Female 0 2339 35
## 1212 Other Male 0 1887 40
## 1213 White Male 0 1902 40
## 1214 White Male 0 2415 60
## 1215 White Male 0 1485 40
## 1216 White Female 0 1848 40
## 1217 White Male 0 2258 44
## 1218 White Male 0 1887 40
## 1219 White Male 0 1672 40
## 1220 White Male 0 1887 40
## 1221 White Male 0 1977 45
## 1222 White Female 0 2258 40
## 1223 White Female 0 1602 8
## 1224 White Male 0 1902 40
## 1225 White Male 0 1672 60
## 1226 White Male 0 1902 45
## 1227 White Male 0 2415 45
## 1228 White Male 0 1977 50
## 1229 White Male 0 1887 50
## 1230 White Male 0 1977 60
## 1231 White Male 0 1741 40
## 1232 White Female 0 1902 60
## 1233 White Male 0 1902 60
## 1234 White Male 0 1887 50
## 1235 White Male 0 2179 40
## 1236 Black Male 0 1816 2
## 1237 White Male 0 1977 40
## 1238 Black Male 0 2206 40
## 1239 White Male 0 1977 45
## 1240 White Male 0 1380 42
## 1241 White Male 0 1887 47
## 1242 White Male 0 2352 50
## 1243 White Male 0 653 42
## 1244 Asian-Pac-Islander Male 0 2415 40
## 1245 White Male 0 2392 40
## 1246 White Male 0 1902 65
## 1247 White Male 0 1902 40
## 1248 White Female 0 1902 46
## 1249 White Male 0 2415 70
## 1250 White Female 0 1977 40
## 1251 White Male 0 1876 50
## 1252 White Male 0 1848 60
## 1253 White Female 0 1762 30
## 1254 White Male 0 1887 40
## 1255 White Male 0 1672 60
## 1256 White Male 0 1902 60
## 1257 White Male 0 1628 70
## 1258 White Male 0 2002 40
## 1259 Black Male 0 1902 40
## 1260 White Male 0 2339 40
## 1261 White Male 0 2258 40
## 1262 White Male 0 1485 40
## 1263 Asian-Pac-Islander Female 0 1887 40
## 1264 White Male 0 1887 65
## 1265 White Male 0 419 3
## 1266 White Female 0 1564 54
## 1267 White Male 0 2174 40
## 1268 White Female 0 2206 30
## 1269 White Male 0 2415 35
## 1270 Black Male 0 1902 60
## 1271 Black Male 0 2339 40
## 1272 White Male 0 1977 60
## 1273 White Male 0 1977 50
## 1274 White Male 0 2392 75
## 1275 White Female 0 1902 40
## 1276 White Male 0 1740 48
## 1277 Black Female 0 1669 38
## 1278 Asian-Pac-Islander Male 0 1902 40
## 1279 White Male 0 1876 56
## 1280 White Male 0 1977 40
## 1281 White Male 0 1672 84
## 1282 White Male 0 2352 65
## 1283 White Male 0 1977 50
## 1284 White Male 0 1977 40
## 1285 White Male 0 2415 55
## 1286 White Male 0 2002 45
## 1287 White Male 0 1977 44
## 1288 White Male 0 2377 60
## 1289 White Male 0 2392 25
## 1290 White Male 0 1816 60
## 1291 White Male 0 1485 40
## 1292 White Male 0 1590 40
## 1293 White Male 0 1902 55
## 1294 White Male 0 2002 40
## 1295 White Female 0 1977 40
## 1296 White Male 0 2002 40
## 1297 White Male 0 2392 6
## 1298 White Male 0 1902 40
## 1299 White Male 0 1887 40
## 1300 White Male 0 1539 40
## 1301 White Male 0 1977 40
## 1302 White Male 0 2415 50
## 1303 White Male 0 1485 40
## 1304 White Male 0 1668 40
## 1305 White Female 0 1564 70
## 1306 White Female 0 1902 38
## 1307 Asian-Pac-Islander Male 0 1902 40
## 1308 White Male 0 1902 50
## 1309 White Female 0 1590 38
## 1310 White Male 0 1977 40
## 1311 White Male 0 1902 40
## 1312 White Male 0 1672 45
## 1313 White Female 0 2377 40
## 1314 White Male 0 1740 35
## 1315 White Male 0 1902 40
## 1316 White Male 0 1844 70
## 1317 White Male 0 1902 43
## 1318 White Female 0 810 38
## 1319 White Male 0 1977 50
## 1320 White Male 0 1876 40
## 1321 White Male 0 2051 50
## 1322 White Male 0 1977 45
## 1323 White Male 0 1902 40
## 1324 White Male 0 2051 40
## 1325 White Male 0 1902 50
## 1326 White Male 0 1977 50
## 1327 White Male 0 2051 20
## 1328 Asian-Pac-Islander Male 0 2057 60
## 1329 White Male 0 1977 60
## 1330 Black Male 0 1672 40
## 1331 White Male 0 1672 40
## 1332 White Male 0 1902 52
## 1333 White Male 0 1848 40
## 1334 Black Female 0 1977 40
## 1335 White Male 0 1740 40
## 1336 White Female 0 1564 43
## 1337 White Female 0 2559 50
## 1338 White Male 0 2415 50
## 1339 Asian-Pac-Islander Male 0 1977 32
## 1340 White Female 0 1762 40
## 1341 White Male 0 1977 50
## 1342 White Male 0 1902 40
## 1343 White Male 0 1485 40
## 1344 White Male 0 1672 70
## 1345 White Male 0 1887 40
## 1346 White Female 0 2339 40
## 1347 White Male 0 2174 10
## 1348 Asian-Pac-Islander Male 0 1485 40
## 1349 White Male 0 2559 60
## 1350 White Male 0 1579 40
## 1351 White Male 0 1485 58
## 1352 White Male 0 2149 40
## 1353 White Male 0 1848 40
## 1354 White Male 0 1825 40
## 1355 Black Male 0 1902 40
## 1356 White Male 0 1735 20
## 1357 White Female 0 2206 59
## 1358 White Male 0 1887 35
## 1359 White Female 0 1258 38
## 1360 White Male 0 2603 40
## 1361 White Male 0 2282 40
## 1362 White Female 0 323 40
## 1363 White Male 0 1485 50
## 1364 White Male 0 1902 40
## 1365 White Female 0 4356 40
## 1366 White Male 0 2179 18
## 1367 White Male 0 2174 40
## 1368 White Male 0 1902 40
## 1369 White Male 0 1977 40
## 1370 White Male 0 1902 40
## 1371 White Male 0 1902 50
## 1372 White Male 0 1672 55
## 1373 White Male 0 1902 50
## 1374 White Male 0 1977 40
## 1375 White Male 0 1887 40
## 1376 White Male 0 2377 12
## 1377 White Male 0 1977 41
## 1378 White Male 0 1876 40
## 1379 White Male 0 2603 32
## 1380 White Male 0 2231 40
## 1381 White Female 0 2444 72
## 1382 White Male 0 1977 45
## 1383 White Female 0 625 38
## 1384 White Male 0 1902 45
## 1385 White Female 0 810 36
## 1386 White Male 0 2149 20
## 1387 White Male 0 1887 67
## 1388 White Male 0 1977 40
## 1389 White Male 0 2258 40
## 1390 White Male 0 2444 39
## 1391 White Male 0 1648 4
## 1392 White Male 0 1977 20
## 1393 White Male 0 2559 50
## 1394 White Male 0 1258 40
## 1395 White Female 0 2824 20
## 1396 White Male 0 1977 50
## 1397 White Male 0 1977 40
## 1398 White Male 0 1485 40
## 1399 White Male 0 1902 50
## 1400 White Male 0 1848 44
## 1401 White Male 0 1977 50
## 1402 Black Male 0 1977 50
## 1403 White Male 0 1825 10
## 1404 White Male 0 1902 48
## 1405 White Male 0 1902 50
## 1406 Black Male 0 1735 40
## 1407 White Male 0 1887 40
## 1408 White Female 0 1594 32
## 1409 White Female 0 1504 19
## 1410 White Male 0 1902 40
## 1411 White Male 0 2489 15
## 1412 White Male 0 1669 40
## 1413 White Female 0 1504 35
## 1414 White Male 0 1977 50
## 1415 White Male 0 1977 45
## 1416 White Male 0 1902 40
## 1417 White Female 0 1408 38
## 1418 White Female 0 1617 40
## 1419 White Male 0 1579 48
## 1420 White Female 0 1876 38
## 1421 White Female 0 2246 40
## 1422 Black Female 0 1848 40
## 1423 White Female 0 1974 40
## 1424 White Male 0 1977 40
## 1425 White Male 0 1485 70
## 1426 Black Male 0 1651 40
## 1427 White Male 0 1902 45
## 1428 White Male 0 1887 40
## 1429 White Male 0 1887 55
## 1430 White Female 0 2206 10
## 1431 White Male 0 1755 45
## 1432 White Female 0 3683 20
## 1433 White Male 0 1887 40
## 1434 White Male 0 1902 40
## 1435 White Male 0 1651 40
## 1436 White Female 0 1902 40
## 1437 White Male 0 2392 40
## 1438 Black Male 0 1887 40
## 1439 White Male 0 2339 50
## 1440 White Male 0 1902 55
## 1441 White Female 0 1719 30
## 1442 White Male 0 1669 40
## 1443 White Male 0 2258 40
## 1444 White Male 0 1887 65
## 1445 White Male 0 1977 40
## 1446 White Male 0 1977 40
## 1447 White Male 0 1977 60
## 1448 White Male 0 1579 40
## 1449 White Male 0 2002 50
## 1450 White Male 0 1887 40
## 1451 White Female 0 1668 3
## 1452 White Female 0 1669 40
## 1453 White Female 0 1719 25
## 1454 White Male 0 1977 55
## 1455 White Male 0 2415 80
## 1456 Black Female 0 2001 40
## 1457 White Male 0 1876 40
## 1458 White Female 0 1617 40
## 1459 White Female 0 4356 18
## 1460 White Female 0 1902 38
## 1461 White Male 0 1485 45
## 1462 White Female 0 1590 40
## 1463 White Male 0 1887 70
## 1464 Black Female 0 2339 45
## 1465 White Male 0 1977 35
## 1466 White Male 0 1977 40
## 1467 White Male 0 1485 47
## 1468 White Male 0 1740 40
## 1469 White Male 0 1672 45
## 1470 White Male 0 2174 50
## 1471 White Female 0 880 40
## 1472 White Male 0 2267 40
## 1473 Black Male 0 1876 50
## 1474 White Male 0 1902 40
## 1475 White Male 0 1876 60
## 1476 White Male 0 1092 40
## 1477 White Male 0 1902 40
## 1478 White Male 0 2002 30
## 1479 White Male 0 1876 40
## 1480 White Female 0 1980 45
## 1481 White Female 0 1602 3
## 1482 White Male 0 2415 40
## 1483 Black Male 0 1887 55
## 1484 Black Female 0 2339 40
## 1485 White Male 0 2824 40
## 1486 White Female 0 1380 40
## 1487 White Male 0 1887 40
## 1488 White Female 0 625 40
## 1489 White Male 0 1887 45
## 1490 White Male 0 1977 40
## 1491 White Male 0 1902 60
## 1492 White Female 0 1887 40
## 1493 White Male 0 1977 98
## 1494 White Male 0 1902 35
## 1495 Black Male 0 2559 50
## 1496 Asian-Pac-Islander Male 0 1977 50
## 1497 White Female 0 1590 38
## 1498 White Female 0 2559 60
## 1499 Asian-Pac-Islander Male 0 2457 40
## 1500 White Male 0 2179 40
## 1501 White Female 0 1876 38
## 1502 White Male 0 2246 40
## 1503 White Male 0 1887 55
## 1504 White Male 0 2267 40
## 1505 White Male 0 1977 40
## 1506 Asian-Pac-Islander Male 0 1902 40
## 1507 White Female 0 625 40
## 1508 White Male 0 1672 44
## 1509 White Female 0 2057 60
## 1510 White Male 0 1848 40
## 1511 White Male 0 2001 35
## 1512 Black Male 0 1848 40
## 1513 White Male 0 1977 45
## 1514 White Female 0 653 60
## 1515 White Male 0 1902 50
## 1516 White Male 0 1672 98
## 1517 White Male 0 1902 40
## 1518 White Male 0 1902 40
## 1519 White Male 0 1651 40
## 1520 White Male 0 2246 8
## 1521 White Male 0 1564 51
## 1522 White Male 0 1740 40
## 1523 White Male 0 1902 40
## 1524 White Male 0 2559 48
## 1525 White Male 0 2415 50
## 1526 White Male 0 1887 40
## 1527 White Male 0 1902 40
## 1528 White Male 0 1902 60
## 1529 White Male 0 419 12
## 1530 White Female 0 1977 35
## 1531 White Male 0 1590 40
## 1532 White Female 0 2206 5
## 1533 White Male 0 2179 52
## 1534 White Male 0 2174 40
## 1535 White Female 0 3900 40
## 1536 White Male 0 1902 30
## 1537 White Male 0 1977 60
## 1538 White Male 0 2051 38
## 1539 White Male 0 2246 40
## 1540 White Female 0 1485 40
## 1541 White Male 0 1977 50
## 1542 Black Male 0 1977 40
## 1543 White Female 0 2547 40
## 1544 White Female 0 1944 1
## 1545 White Male 0 1887 40
## 1546 Black Male 0 2001 65
## 1547 White Male 0 1902 50
## 1548 White Male 0 1258 20
## 1549 White Male 0 1887 40
## 1550 White Male 0 2415 60
## 1551 White Female 0 1590 45
## 1552 White Male 0 2377 26
## 1553 White Female 0 2457 40
## 1554 Black Male 0 1977 40
## 1555 White Male 0 1977 35
## 1556 White Male 0 1887 40
## 1557 White Male 0 1740 60
## 1558 White Female 0 2339 60
## 1559 White Male 0 1902 45
## 1560 White Male 0 2467 52
## 1561 White Male 0 2824 50
## 1562 White Male 0 1902 65
## 1563 White Female 0 3683 40
## 1564 White Male 0 1848 40
## 1565 White Male 0 2377 25
## 1566 White Female 0 1669 38
## 1567 White Male 0 1977 55
## 1568 White Male 0 2377 45
## 1569 White Male 0 1408 40
## 1570 White Male 0 2179 50
## 1571 White Male 0 1848 50
## 1572 White Female 0 2205 40
## 1573 White Male 0 1887 40
## 1574 White Female 0 1848 40
## 1575 White Male 0 2392 60
## 1576 White Male 0 1887 50
## 1577 White Male 0 2415 45
## 1578 White Male 0 2051 40
## 1579 White Male 0 1887 40
## 1580 White Male 0 1902 40
## 1581 White Female 0 1974 40
## 1582 White Male 0 1902 60
## 1583 White Male 0 1902 60
## 1584 White Male 0 2444 45
## 1585 White Male 0 1902 40
## 1586 White Male 0 1977 60
## 1587 White Male 0 2392 55
## 1588 White Male 0 2377 55
## 1589 White Female 0 1980 40
## 1590 Asian-Pac-Islander Male 0 2163 25
## 1591 White Male 0 1887 47
## 1592 White Male 0 2415 60
## 1593 White Male 0 1648 35
## 1594 White Female 0 1628 30
## 1595 White Male 0 2246 28
## 1596 White Female 0 2258 38
## 1597 White Male 0 1902 40
## 1598 White Male 0 1902 40
## 1599 Asian-Pac-Islander Male 0 1485 40
## 1600 White Male 0 1977 63
## 1601 White Female 0 2559 50
## 1602 White Male 0 1672 50
## 1603 White Male 0 1848 45
## 1604 White Male 0 1887 44
## 1605 White Male 0 1672 40
## 1606 White Male 0 1977 50
## 1607 White Male 0 2377 42
## 1608 White Male 0 1740 40
## 1609 White Female 0 2001 40
## 1610 White Female 0 1876 54
## 1611 White Male 0 1902 40
## 1612 White Male 0 1977 40
## 1613 White Male 0 2179 45
## 1614 White Male 0 1902 40
## 1615 White Male 0 1504 35
## 1616 White Male 0 1977 50
## 1617 White Male 0 1408 50
## 1618 White Female 0 1668 40
## 1619 White Male 0 1977 55
## 1620 White Male 0 1887 40
## 1621 White Female 0 1617 33
## 1622 White Male 0 2457 40
## 1623 White Male 0 1258 20
## 1624 White Male 0 1902 40
## 1625 White Male 0 1902 50
## 1626 White Female 0 1977 50
## 1627 White Male 0 1977 45
## 1628 White Male 0 1902 40
## 1629 White Male 0 2415 40
## 1630 White Female 0 1887 36
## 1631 White Male 0 2377 40
## 1632 White Male 0 1485 40
## 1633 White Male 0 1887 48
## 1634 White Male 0 1579 65
## 1635 White Male 0 2002 40
## 1636 Other Male 0 1579 35
## 1637 White Male 0 2603 40
## 1638 Black Male 0 2377 40
## 1639 White Male 0 1902 40
## 1640 White Male 0 1977 50
## 1641 White Male 0 1980 40
## 1642 White Female 0 1092 40
## 1643 Black Male 0 2174 40
## 1644 White Male 0 1740 50
## 1645 White Male 0 1977 43
## 1646 Black Female 0 2206 25
## 1647 White Male 0 2392 40
## 1648 White Male 0 1887 40
## 1649 White Female 0 1977 35
## 1650 White Male 0 2377 35
## 1651 White Male 0 1887 40
## 1652 White Female 0 2258 50
## 1653 White Female 0 2754 25
## 1654 White Male 0 1977 48
## 1655 Black Male 0 1740 40
## 1656 White Female 0 1876 40
## 1657 White Male 0 2415 30
## 1658 White Male 0 2002 45
## 1659 White Male 0 1977 40
## 1660 White Male 0 625 40
## 1661 White Male 0 2258 62
## 1662 White Male 0 1668 20
## 1663 White Male 0 1902 45
## 1664 White Female 0 2472 70
## 1665 White Male 0 1740 50
## 1666 White Male 0 1977 18
## 1667 Black Male 0 1902 60
## 1668 White Male 0 1887 40
## 1669 White Female 0 1755 40
## 1670 White Female 0 1602 45
## 1671 White Male 0 2174 50
## 1672 White Female 0 2267 40
## 1673 White Male 0 2002 45
## 1674 White Male 0 1977 60
## 1675 White Male 0 1887 50
## 1676 White Male 0 1887 40
## 1677 White Male 0 1740 40
## 1678 White Male 0 1825 12
## 1679 White Female 0 1977 60
## 1680 White Male 0 2415 50
## 1681 White Male 0 1825 40
## 1682 White Male 0 1340 40
## 1683 White Male 0 1902 60
## 1684 White Male 0 1902 40
## 1685 White Male 0 1974 40
## 1686 White Male 0 1902 50
## 1687 Black Female 0 4356 40
## 1688 White Male 0 1902 40
## 1689 White Female 0 1092 40
## 1690 White Male 0 1887 60
## 1691 White Male 0 1902 60
## 1692 Black Female 0 1669 35
## 1693 White Male 0 1887 40
## 1694 White Male 0 1672 65
## 1695 White Male 0 1887 60
## 1696 White Male 0 2377 50
## 1697 White Male 0 1579 60
## 1698 White Male 0 1902 40
## 1699 White Female 0 2415 20
## 1700 White Male 0 1740 40
## 1701 White Male 0 1848 40
## 1702 White Male 0 1902 40
## 1703 White Female 0 323 20
## 1704 White Male 0 2415 60
## 1705 White Male 0 1485 40
## 1706 White Female 0 1741 38
## 1707 White Male 0 2051 20
## 1708 White Male 0 1977 45
## 1709 White Female 0 2258 40
## 1710 White Male 0 2444 40
## 1711 White Female 0 1408 5
## 1712 White Male 0 2415 45
## 1713 White Male 0 1887 50
## 1714 White Male 0 2042 34
## 1715 White Male 0 1411 40
## 1716 White Female 0 2559 40
## 1717 White Male 0 1887 40
## 1718 White Male 0 1887 45
## 1719 Black Female 0 1669 50
## site Income_level Agedisc1 Agedisc2 Class
## 1 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 2 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 3 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 4 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 5 Puerto-Rico <=50K (24,31] [17,28] [16.5,28.5]
## 6 United-States >50K (24,31] [17,28] [16.5,28.5]
## 7 Philippines <=50K (24,31] [17,28] [16.5,28.5]
## 8 South <=50K [17,24] [17,28] [16.5,28.5]
## 9 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 10 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 11 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 12 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 13 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 14 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 15 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 16 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 17 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 18 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 19 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 20 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 21 United-States >50K (24,31] [17,28] [16.5,28.5]
## 22 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 23 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 24 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 25 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 26 ? <=50K (24,31] [17,28] [16.5,28.5]
## 27 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 28 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 29 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 30 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 31 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 32 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 33 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 34 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 35 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 36 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 37 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 38 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 39 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 40 Philippines <=50K (24,31] [17,28] [16.5,28.5]
## 41 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 42 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 43 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 44 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 45 United-States >50K [17,24] [17,28] [16.5,28.5]
## 46 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 47 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 48 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 49 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 50 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 51 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 52 United-States >50K (24,31] [17,28] [16.5,28.5]
## 53 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 54 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 55 United-States >50K [17,24] [17,28] [16.5,28.5]
## 56 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 57 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 58 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 59 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 60 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 61 Mexico <=50K (24,31] [17,28] [16.5,28.5]
## 62 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 63 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 64 Mexico <=50K (24,31] [17,28] [16.5,28.5]
## 65 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 66 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 67 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 68 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 69 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 70 United-States >50K [17,24] [17,28] [16.5,28.5]
## 71 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 72 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 73 ? <=50K (24,31] [17,28] [16.5,28.5]
## 74 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 75 England <=50K (24,31] [17,28] [16.5,28.5]
## 76 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 77 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 78 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 79 Taiwan <=50K [17,24] [17,28] [16.5,28.5]
## 80 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 81 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 82 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 83 United-States >50K (24,31] [17,28] [16.5,28.5]
## 84 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 85 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 86 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 87 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 88 United-States >50K (24,31] [17,28] [16.5,28.5]
## 89 United-States >50K (24,31] [17,28] [16.5,28.5]
## 90 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 91 United-States >50K (24,31] [17,28] [16.5,28.5]
## 92 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 93 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 94 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 95 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 96 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 97 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 98 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 99 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 100 United-States >50K (24,31] [17,28] [16.5,28.5]
## 101 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 102 United-States >50K (24,31] [17,28] [16.5,28.5]
## 103 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 104 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 105 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 106 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 107 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 108 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 109 United-States >50K (24,31] [17,28] [16.5,28.5]
## 110 Canada <=50K (24,31] [17,28] [16.5,28.5]
## 111 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 112 United-States >50K (24,31] [17,28] [16.5,28.5]
## 113 United-States >50K (24,31] [17,28] [16.5,28.5]
## 114 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 115 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 116 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 117 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 118 United-States >50K (24,31] [17,28] [16.5,28.5]
## 119 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 120 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 121 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 122 United-States >50K (24,31] [17,28] [16.5,28.5]
## 123 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 124 United-States >50K (24,31] [17,28] [16.5,28.5]
## 125 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 126 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 127 Cambodia <=50K (24,31] [17,28] [16.5,28.5]
## 128 United-States >50K (24,31] [17,28] [16.5,28.5]
## 129 United-States >50K (24,31] [17,28] [16.5,28.5]
## 130 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 131 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 132 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 133 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 134 Dominican-Republic <=50K [17,24] [17,28] [16.5,28.5]
## 135 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 136 United-States >50K (24,31] [17,28] [16.5,28.5]
## 137 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 138 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 139 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 140 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 141 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 142 United-States >50K (24,31] [17,28] [16.5,28.5]
## 143 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 144 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 145 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 146 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 147 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 148 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 149 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 150 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 151 United-States >50K [17,24] [17,28] [16.5,28.5]
## 152 United-States >50K (24,31] [17,28] [16.5,28.5]
## 153 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 154 United-States >50K (24,31] [17,28] [16.5,28.5]
## 155 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 156 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 157 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 158 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 159 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 160 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 161 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 162 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 163 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 164 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 165 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 166 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 167 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 168 Cambodia <=50K [17,24] [17,28] [16.5,28.5]
## 169 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 170 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 171 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 172 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 173 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 174 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 175 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 176 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 177 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 178 United-States >50K (24,31] [17,28] [16.5,28.5]
## 179 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 180 United-States >50K (24,31] [17,28] [16.5,28.5]
## 181 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 182 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 183 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 184 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 185 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 186 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 187 ? >50K [17,24] [17,28] [16.5,28.5]
## 188 Canada <=50K (24,31] [17,28] [16.5,28.5]
## 189 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 190 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 191 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 192 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 193 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 194 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 195 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 196 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 197 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 198 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 199 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 200 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 201 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 202 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 203 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 204 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 205 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 206 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 207 Mexico <=50K (24,31] [17,28] [16.5,28.5]
## 208 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 209 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 210 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 211 El-Salvador <=50K [17,24] [17,28] [16.5,28.5]
## 212 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 213 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 214 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 215 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 216 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 217 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 218 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 219 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 220 United-States >50K (24,31] [17,28] [16.5,28.5]
## 221 United-States >50K (24,31] [17,28] [16.5,28.5]
## 222 India >50K [17,24] [17,28] [16.5,28.5]
## 223 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 224 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 225 United-States >50K (24,31] [17,28] [16.5,28.5]
## 226 United-States <=50K (24,31] [17,28] [16.5,28.5]
## 227 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 228 United-States <=50K [17,24] [17,28] [16.5,28.5]
## 229 ? <=50K (24,31] (28,37] [26.5,38.5]
## 230 United-States <=50K (24,31] [17,28] [26.5,38.5]
## 231 United-States <=50K (37,44] (37,48] [26.5,38.5]
## 232 Puerto-Rico <=50K (24,31] [17,28] [26.5,38.5]
## 233 United-States >50K (24,31] [17,28] [26.5,38.5]
## 234 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 235 Philippines <=50K (24,31] [17,28] [26.5,38.5]
## 236 United-States >50K (31,37] (28,37] [26.5,38.5]
## 237 United-States >50K (24,31] (28,37] [26.5,38.5]
## 238 Cuba <=50K (24,31] (28,37] [26.5,38.5]
## 239 United-States <=50K (24,31] [17,28] [26.5,38.5]
## 240 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 241 United-States >50K (31,37] (28,37] [26.5,38.5]
## 242 United-States >50K (31,37] (28,37] [26.5,38.5]
## 243 United-States >50K (31,37] (28,37] [26.5,38.5]
## 244 United-States >50K (37,44] (37,48] [26.5,38.5]
## 245 United-States <=50K (24,31] [17,28] [26.5,38.5]
## 246 United-States >50K (24,31] (28,37] [26.5,38.5]
## 247 United-States <=50K (24,31] [17,28] [26.5,38.5]
## 248 United-States >50K (37,44] (37,48] [26.5,38.5]
## 249 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 250 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 251 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 252 United-States >50K (31,37] (28,37] [26.5,38.5]
## 253 United-States >50K (31,37] (28,37] [26.5,38.5]
## 254 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 255 ? <=50K (24,31] (28,37] [26.5,38.5]
## 256 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 257 United-States >50K (31,37] (28,37] [26.5,38.5]
## 258 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 259 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 260 United-States >50K (31,37] (28,37] [26.5,38.5]
## 261 United-States >50K (24,31] [17,28] [26.5,38.5]
## 262 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 263 United-States >50K (37,44] (37,48] [26.5,38.5]
## 264 Vietnam <=50K (37,44] (37,48] [26.5,38.5]
## 265 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 266 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 267 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 268 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 269 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 270 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 271 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 272 United-States >50K (31,37] (28,37] [26.5,38.5]
## 273 United-States >50K (37,44] (37,48] [26.5,38.5]
## 274 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 275 Peru >50K (31,37] (28,37] [26.5,38.5]
## 276 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 277 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 278 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 279 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 280 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 281 United-States <=50K (24,31] [17,28] [26.5,38.5]
## 282 United-States >50K (37,44] (37,48] [26.5,38.5]
## 283 United-States <=50K (24,31] [17,28] [26.5,38.5]
## 284 United-States >50K (31,37] (28,37] [26.5,38.5]
## 285 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 286 United-States >50K (31,37] (28,37] [26.5,38.5]
## 287 United-States >50K (31,37] (28,37] [26.5,38.5]
## 288 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 289 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 290 United-States <=50K (24,31] [17,28] [26.5,38.5]
## 291 Puerto-Rico >50K (24,31] (28,37] [26.5,38.5]
## 292 United-States >50K (31,37] (28,37] [26.5,38.5]
## 293 United-States >50K (31,37] (28,37] [26.5,38.5]
## 294 United-States >50K (31,37] (28,37] [26.5,38.5]
## 295 El-Salvador <=50K (24,31] (28,37] [26.5,38.5]
## 296 United-States >50K (24,31] (28,37] [26.5,38.5]
## 297 United-States >50K (24,31] (28,37] [26.5,38.5]
## 298 United-States >50K (31,37] (28,37] [26.5,38.5]
## 299 United-States >50K (31,37] (28,37] [26.5,38.5]
## 300 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 301 China >50K (24,31] (28,37] [26.5,38.5]
## 302 United-States <=50K (24,31] [17,28] [26.5,38.5]
## 303 United-States <=50K (24,31] [17,28] [26.5,38.5]
## 304 United-States <=50K (24,31] [17,28] [26.5,38.5]
## 305 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 306 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 307 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 308 United-States <=50K (24,31] [17,28] [26.5,38.5]
## 309 United-States >50K (31,37] (28,37] [26.5,38.5]
## 310 South <=50K (24,31] (28,37] [26.5,38.5]
## 311 United-States >50K (37,44] (37,48] [26.5,38.5]
## 312 United-States >50K (24,31] (28,37] [26.5,38.5]
## 313 United-States >50K (37,44] (37,48] [26.5,38.5]
## 314 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 315 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 316 United-States >50K (31,37] (28,37] [26.5,38.5]
## 317 United-States >50K (31,37] (28,37] [26.5,38.5]
## 318 United-States >50K (31,37] (28,37] [26.5,38.5]
## 319 United-States >50K (31,37] (28,37] [26.5,38.5]
## 320 Haiti <=50K (24,31] (28,37] [26.5,38.5]
## 321 United-States >50K (37,44] (37,48] [26.5,38.5]
## 322 Germany >50K (31,37] (28,37] [26.5,38.5]
## 323 United-States >50K (24,31] (28,37] [26.5,38.5]
## 324 United-States >50K (24,31] (28,37] [26.5,38.5]
## 325 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 326 United-States >50K (31,37] (28,37] [26.5,38.5]
## 327 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 328 United-States <=50K (24,31] [17,28] [26.5,38.5]
## 329 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 330 United-States >50K (37,44] (37,48] [26.5,38.5]
## 331 United-States >50K (31,37] (28,37] [26.5,38.5]
## 332 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 333 United-States >50K (31,37] (28,37] [26.5,38.5]
## 334 United-States >50K (31,37] (28,37] [26.5,38.5]
## 335 Iran <=50K (31,37] (28,37] [26.5,38.5]
## 336 ? <=50K (37,44] (37,48] [26.5,38.5]
## 337 United-States >50K (31,37] (28,37] [26.5,38.5]
## 338 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 339 United-States >50K (24,31] (28,37] [26.5,38.5]
## 340 United-States <=50K (24,31] [17,28] [26.5,38.5]
## 341 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 342 United-States >50K (24,31] (28,37] [26.5,38.5]
## 343 United-States >50K (31,37] (28,37] [26.5,38.5]
## 344 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 345 United-States >50K (31,37] (28,37] [26.5,38.5]
## 346 United-States >50K (24,31] (28,37] [26.5,38.5]
## 347 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 348 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 349 United-States <=50K (24,31] [17,28] [26.5,38.5]
## 350 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 351 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 352 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 353 United-States >50K (31,37] (28,37] [26.5,38.5]
## 354 ? <=50K (24,31] [17,28] [26.5,38.5]
## 355 United-States >50K (24,31] (28,37] [26.5,38.5]
## 356 United-States >50K (31,37] (28,37] [26.5,38.5]
## 357 England <=50K (24,31] [17,28] [26.5,38.5]
## 358 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 359 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 360 United-States <=50K (37,44] (37,48] [26.5,38.5]
## 361 United-States >50K (31,37] (28,37] [26.5,38.5]
## 362 United-States >50K (24,31] (28,37] [26.5,38.5]
## 363 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 364 United-States >50K (31,37] (28,37] [26.5,38.5]
## 365 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 366 United-States >50K (24,31] (28,37] [26.5,38.5]
## 367 United-States <=50K (24,31] [17,28] [26.5,38.5]
## 368 United-States >50K (31,37] (28,37] [26.5,38.5]
## 369 United-States >50K (24,31] [17,28] [26.5,38.5]
## 370 United-States >50K (24,31] (28,37] [26.5,38.5]
## 371 United-States <=50K (37,44] (37,48] [26.5,38.5]
## 372 United-States >50K (31,37] (28,37] [26.5,38.5]
## 373 United-States >50K (31,37] (28,37] [26.5,38.5]
## 374 United-States >50K (24,31] (28,37] [26.5,38.5]
## 375 United-States <=50K (24,31] [17,28] [26.5,38.5]
## 376 United-States >50K (37,44] (37,48] [26.5,38.5]
## 377 United-States >50K (24,31] [17,28] [26.5,38.5]
## 378 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 379 United-States >50K (31,37] (28,37] [26.5,38.5]
## 380 United-States >50K (31,37] (28,37] [26.5,38.5]
## 381 United-States >50K (31,37] (28,37] [26.5,38.5]
## 382 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 383 United-States >50K (24,31] [17,28] [26.5,38.5]
## 384 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 385 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 386 Philippines <=50K (37,44] (37,48] [26.5,38.5]
## 387 ? >50K (31,37] (28,37] [26.5,38.5]
## 388 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 389 India >50K (31,37] (28,37] [26.5,38.5]
## 390 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 391 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 392 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 393 United-States >50K (24,31] [17,28] [26.5,38.5]
## 394 United-States <=50K (24,31] [17,28] [26.5,38.5]
## 395 United-States >50K (31,37] (28,37] [26.5,38.5]
## 396 United-States >50K (31,37] (28,37] [26.5,38.5]
## 397 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 398 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 399 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 400 Ireland >50K (31,37] (28,37] [26.5,38.5]
## 401 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 402 United-States >50K (31,37] (28,37] [26.5,38.5]
## 403 United-States >50K (31,37] (28,37] [26.5,38.5]
## 404 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 405 United-States <=50K (37,44] (37,48] [26.5,38.5]
## 406 United-States >50K (31,37] (28,37] [26.5,38.5]
## 407 United-States >50K (31,37] (28,37] [26.5,38.5]
## 408 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 409 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 410 United-States >50K (31,37] (28,37] [26.5,38.5]
## 411 United-States >50K (31,37] (28,37] [26.5,38.5]
## 412 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 413 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 414 United-States >50K (31,37] (28,37] [26.5,38.5]
## 415 United-States >50K (24,31] (28,37] [26.5,38.5]
## 416 United-States >50K (31,37] (28,37] [26.5,38.5]
## 417 United-States >50K (24,31] [17,28] [26.5,38.5]
## 418 ? <=50K (31,37] (28,37] [26.5,38.5]
## 419 United-States >50K (31,37] (28,37] [26.5,38.5]
## 420 United-States >50K (31,37] (28,37] [26.5,38.5]
## 421 United-States >50K (31,37] (28,37] [26.5,38.5]
## 422 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 423 United-States >50K (31,37] (28,37] [26.5,38.5]
## 424 United-States >50K (24,31] (28,37] [26.5,38.5]
## 425 United-States <=50K (37,44] (37,48] [26.5,38.5]
## 426 United-States >50K (24,31] (28,37] [26.5,38.5]
## 427 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 428 United-States >50K (37,44] (37,48] [26.5,38.5]
## 429 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 430 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 431 United-States >50K (31,37] (28,37] [26.5,38.5]
## 432 United-States >50K (31,37] (28,37] [26.5,38.5]
## 433 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 434 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 435 United-States >50K (24,31] [17,28] [26.5,38.5]
## 436 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 437 Taiwan >50K (24,31] (28,37] [26.5,38.5]
## 438 Canada <=50K (24,31] [17,28] [26.5,38.5]
## 439 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 440 United-States >50K (24,31] (28,37] [26.5,38.5]
## 441 South >50K (24,31] (28,37] [26.5,38.5]
## 442 United-States >50K (31,37] (28,37] [26.5,38.5]
## 443 United-States >50K (24,31] [17,28] [26.5,38.5]
## 444 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 445 United-States >50K (24,31] [17,28] [26.5,38.5]
## 446 United-States >50K (24,31] (28,37] [26.5,38.5]
## 447 ? <=50K (31,37] (28,37] [26.5,38.5]
## 448 United-States >50K (31,37] (28,37] [26.5,38.5]
## 449 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 450 United-States <=50K (37,44] (37,48] [26.5,38.5]
## 451 United-States <=50K (24,31] [17,28] [26.5,38.5]
## 452 United-States >50K (37,44] (37,48] [26.5,38.5]
## 453 United-States >50K (31,37] (28,37] [26.5,38.5]
## 454 United-States <=50K (24,31] [17,28] [26.5,38.5]
## 455 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 456 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 457 United-States >50K (24,31] [17,28] [26.5,38.5]
## 458 United-States <=50K (24,31] [17,28] [26.5,38.5]
## 459 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 460 United-States >50K (24,31] [17,28] [26.5,38.5]
## 461 United-States >50K (24,31] [17,28] [26.5,38.5]
## 462 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 463 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 464 United-States >50K (31,37] (28,37] [26.5,38.5]
## 465 United-States >50K (24,31] (28,37] [26.5,38.5]
## 466 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 467 ? <=50K (31,37] (28,37] [26.5,38.5]
## 468 United-States >50K (37,44] (37,48] [26.5,38.5]
## 469 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 470 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 471 Cambodia <=50K (24,31] [17,28] [26.5,38.5]
## 472 United-States >50K (37,44] (37,48] [26.5,38.5]
## 473 United-States >50K (24,31] [17,28] [26.5,38.5]
## 474 United-States >50K (24,31] (28,37] [26.5,38.5]
## 475 United-States <=50K (37,44] (37,48] [26.5,38.5]
## 476 India >50K (24,31] (28,37] [26.5,38.5]
## 477 United-States <=50K (24,31] [17,28] [26.5,38.5]
## 478 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 479 United-States >50K (31,37] (28,37] [26.5,38.5]
## 480 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 481 United-States >50K (31,37] (28,37] [26.5,38.5]
## 482 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 483 United-States >50K (31,37] (28,37] [26.5,38.5]
## 484 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 485 United-States >50K (24,31] [17,28] [26.5,38.5]
## 486 United-States >50K (24,31] (28,37] [26.5,38.5]
## 487 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 488 United-States >50K (31,37] (28,37] [26.5,38.5]
## 489 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 490 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 491 United-States >50K (31,37] (28,37] [26.5,38.5]
## 492 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 493 United-States >50K (24,31] (28,37] [26.5,38.5]
## 494 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 495 United-States >50K (31,37] (28,37] [26.5,38.5]
## 496 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 497 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 498 United-States >50K (31,37] (28,37] [26.5,38.5]
## 499 United-States >50K (31,37] (28,37] [26.5,38.5]
## 500 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 501 Canada <=50K (37,44] (37,48] [26.5,38.5]
## 502 United-States >50K (24,31] (28,37] [26.5,38.5]
## 503 Vietnam <=50K (24,31] (28,37] [26.5,38.5]
## 504 United-States <=50K (24,31] [17,28] [26.5,38.5]
## 505 United-States >50K (31,37] (28,37] [26.5,38.5]
## 506 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 507 Holand-Netherlands <=50K (31,37] (28,37] [26.5,38.5]
## 508 United-States <=50K (24,31] [17,28] [26.5,38.5]
## 509 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 510 United-States >50K (31,37] (28,37] [26.5,38.5]
## 511 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 512 United-States >50K (31,37] (28,37] [26.5,38.5]
## 513 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 514 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 515 United-States <=50K (24,31] [17,28] [26.5,38.5]
## 516 United-States <=50K (24,31] [17,28] [26.5,38.5]
## 517 United-States >50K (31,37] (28,37] [26.5,38.5]
## 518 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 519 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 520 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 521 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 522 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 523 United-States >50K (31,37] (28,37] [26.5,38.5]
## 524 United-States >50K (24,31] (28,37] [26.5,38.5]
## 525 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 526 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 527 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 528 United-States <=50K (24,31] [17,28] [26.5,38.5]
## 529 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 530 United-States <=50K (24,31] [17,28] [26.5,38.5]
## 531 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 532 ? <=50K (31,37] (28,37] [26.5,38.5]
## 533 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 534 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 535 United-States >50K (24,31] (28,37] [26.5,38.5]
## 536 United-States <=50K (37,44] (37,48] [26.5,38.5]
## 537 United-States >50K (37,44] (37,48] [26.5,38.5]
## 538 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 539 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 540 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 541 United-States <=50K (24,31] [17,28] [26.5,38.5]
## 542 United-States >50K (31,37] (28,37] [26.5,38.5]
## 543 United-States >50K (31,37] (28,37] [26.5,38.5]
## 544 United-States >50K (37,44] (37,48] [26.5,38.5]
## 545 United-States <=50K (37,44] (37,48] [26.5,38.5]
## 546 United-States >50K (31,37] (28,37] [26.5,38.5]
## 547 United-States >50K (31,37] (28,37] [26.5,38.5]
## 548 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 549 United-States >50K (31,37] (28,37] [26.5,38.5]
## 550 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 551 United-States >50K (24,31] (28,37] [26.5,38.5]
## 552 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 553 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 554 United-States >50K (31,37] (28,37] [26.5,38.5]
## 555 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 556 United-States >50K (24,31] (28,37] [26.5,38.5]
## 557 United-States >50K (31,37] (28,37] [26.5,38.5]
## 558 United-States >50K (31,37] (28,37] [26.5,38.5]
## 559 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 560 United-States >50K (31,37] (28,37] [26.5,38.5]
## 561 United-States >50K (24,31] [17,28] [26.5,38.5]
## 562 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 563 United-States >50K (31,37] (28,37] [26.5,38.5]
## 564 Taiwan >50K (31,37] (28,37] [26.5,38.5]
## 565 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 566 United-States >50K (24,31] [17,28] [26.5,38.5]
## 567 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 568 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 569 United-States <=50K (24,31] [17,28] [26.5,38.5]
## 570 United-States <=50K (24,31] [17,28] [26.5,38.5]
## 571 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 572 United-States <=50K (37,44] (37,48] [26.5,38.5]
## 573 United-States >50K (24,31] (28,37] [26.5,38.5]
## 574 United-States <=50K (24,31] [17,28] [26.5,38.5]
## 575 United-States >50K (31,37] (28,37] [26.5,38.5]
## 576 United-States <=50K (37,44] (37,48] [26.5,38.5]
## 577 United-States >50K (24,31] (28,37] [26.5,38.5]
## 578 United-States >50K (24,31] (28,37] [26.5,38.5]
## 579 United-States <=50K (37,44] (37,48] [26.5,38.5]
## 580 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 581 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 582 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 583 United-States >50K (37,44] (37,48] [26.5,38.5]
## 584 Canada <=50K (24,31] [17,28] [26.5,38.5]
## 585 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 586 United-States >50K (24,31] (28,37] [26.5,38.5]
## 587 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 588 United-States >50K (37,44] (37,48] [26.5,38.5]
## 589 Cuba >50K (37,44] (37,48] [26.5,38.5]
## 590 United-States >50K (31,37] (28,37] [26.5,38.5]
## 591 United-States >50K (31,37] (28,37] [26.5,38.5]
## 592 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 593 United-States >50K (31,37] (28,37] [26.5,38.5]
## 594 United-States >50K (31,37] (28,37] [26.5,38.5]
## 595 Japan >50K (31,37] (28,37] [26.5,38.5]
## 596 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 597 United-States >50K (31,37] (28,37] [26.5,38.5]
## 598 United-States >50K (24,31] (28,37] [26.5,38.5]
## 599 United-States >50K (31,37] (28,37] [26.5,38.5]
## 600 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 601 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 602 United-States >50K (37,44] (37,48] [26.5,38.5]
## 603 United-States >50K (31,37] (28,37] [26.5,38.5]
## 604 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 605 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 606 Germany >50K (24,31] (28,37] [26.5,38.5]
## 607 ? <=50K (37,44] (37,48] [26.5,38.5]
## 608 United-States >50K (31,37] (28,37] [26.5,38.5]
## 609 Mexico <=50K (31,37] (28,37] [26.5,38.5]
## 610 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 611 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 612 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 613 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 614 United-States >50K (31,37] (28,37] [26.5,38.5]
## 615 South <=50K (31,37] (28,37] [26.5,38.5]
## 616 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 617 United-States >50K (24,31] (28,37] [26.5,38.5]
## 618 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 619 United-States >50K (24,31] (28,37] [26.5,38.5]
## 620 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 621 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 622 United-States >50K (31,37] (28,37] [26.5,38.5]
## 623 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 624 United-States >50K (24,31] (28,37] [26.5,38.5]
## 625 United-States >50K (31,37] (28,37] [26.5,38.5]
## 626 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 627 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 628 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 629 United-States <=50K (24,31] [17,28] [26.5,38.5]
## 630 United-States <=50K (24,31] [17,28] [26.5,38.5]
## 631 United-States >50K (31,37] (28,37] [26.5,38.5]
## 632 United-States >50K (31,37] (28,37] [26.5,38.5]
## 633 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 634 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 635 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 636 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 637 United-States <=50K (24,31] [17,28] [26.5,38.5]
## 638 United-States >50K (31,37] (28,37] [26.5,38.5]
## 639 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 640 Mexico <=50K (24,31] [17,28] [26.5,38.5]
## 641 United-States >50K (24,31] (28,37] [26.5,38.5]
## 642 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 643 United-States >50K (31,37] (28,37] [26.5,38.5]
## 644 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 645 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 646 United-States >50K (31,37] (28,37] [26.5,38.5]
## 647 United-States >50K (31,37] (28,37] [26.5,38.5]
## 648 United-States >50K (31,37] (28,37] [26.5,38.5]
## 649 United-States >50K (31,37] (28,37] [26.5,38.5]
## 650 United-States >50K (31,37] (28,37] [26.5,38.5]
## 651 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 652 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 653 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 654 United-States >50K (31,37] (28,37] [26.5,38.5]
## 655 United-States >50K (31,37] (28,37] [26.5,38.5]
## 656 United-States >50K (37,44] (37,48] [26.5,38.5]
## 657 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 658 United-States >50K (31,37] (28,37] [26.5,38.5]
## 659 United-States >50K (31,37] (28,37] [26.5,38.5]
## 660 United-States >50K (24,31] (28,37] [26.5,38.5]
## 661 United-States >50K (31,37] (28,37] [26.5,38.5]
## 662 Cuba >50K (31,37] (28,37] [26.5,38.5]
## 663 United-States <=50K (24,31] [17,28] [26.5,38.5]
## 664 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 665 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 666 Poland <=50K (37,44] (37,48] [26.5,38.5]
## 667 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 668 United-States <=50K (24,31] (28,37] [26.5,38.5]
## 669 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 670 Iran >50K (31,37] (28,37] [26.5,38.5]
## 671 United-States >50K (24,31] (28,37] [26.5,38.5]
## 672 United-States >50K (31,37] (28,37] [26.5,38.5]
## 673 United-States >50K (24,31] [17,28] [26.5,38.5]
## 674 United-States >50K (31,37] (28,37] [26.5,38.5]
## 675 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 676 United-States >50K (31,37] (28,37] [26.5,38.5]
## 677 United-States >50K (31,37] (28,37] [26.5,38.5]
## 678 United-States <=50K (24,31] [17,28] [26.5,38.5]
## 679 United-States >50K (31,37] (28,37] [26.5,38.5]
## 680 United-States >50K (31,37] (28,37] [26.5,38.5]
## 681 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 682 United-States >50K (31,37] (28,37] [26.5,38.5]
## 683 ? >50K (24,31] (28,37] [26.5,38.5]
## 684 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 685 United-States >50K (24,31] (28,37] [26.5,38.5]
## 686 United-States >50K (31,37] (28,37] [26.5,38.5]
## 687 United-States >50K (31,37] (28,37] [26.5,38.5]
## 688 United-States <=50K (31,37] (28,37] [26.5,38.5]
## 689 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 690 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 691 Honduras >50K (44,52] (37,48] [36.5,48.5]
## 692 United-States >50K (44,52] (37,48] [36.5,48.5]
## 693 United-States >50K (44,52] (37,48] [36.5,48.5]
## 694 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 695 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 696 United-States >50K (37,44] (37,48] [36.5,48.5]
## 697 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 698 United-States >50K (37,44] (37,48] [36.5,48.5]
## 699 United-States >50K (37,44] (37,48] [36.5,48.5]
## 700 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 701 United-States >50K (37,44] (37,48] [36.5,48.5]
## 702 United-States >50K (37,44] (37,48] [36.5,48.5]
## 703 United-States >50K (31,37] (28,37] [36.5,48.5]
## 704 United-States >50K (37,44] (37,48] [36.5,48.5]
## 705 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 706 England >50K (37,44] (37,48] [36.5,48.5]
## 707 United-States >50K (37,44] (37,48] [36.5,48.5]
## 708 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 709 United-States >50K (37,44] (37,48] [36.5,48.5]
## 710 United-States >50K (44,52] (37,48] [36.5,48.5]
## 711 Mexico <=50K (37,44] (37,48] [36.5,48.5]
## 712 United-States >50K (44,52] (37,48] [36.5,48.5]
## 713 United-States >50K (37,44] (37,48] [36.5,48.5]
## 714 United-States >50K (44,52] (37,48] [36.5,48.5]
## 715 Iran >50K (37,44] (37,48] [36.5,48.5]
## 716 ? >50K (37,44] (37,48] [36.5,48.5]
## 717 United-States >50K (37,44] (37,48] [36.5,48.5]
## 718 United-States >50K (37,44] (37,48] [36.5,48.5]
## 719 United-States >50K (37,44] (37,48] [36.5,48.5]
## 720 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 721 United-States >50K (31,37] (28,37] [36.5,48.5]
## 722 United-States >50K (31,37] (28,37] [36.5,48.5]
## 723 United-States >50K (37,44] (37,48] [36.5,48.5]
## 724 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 725 United-States >50K (37,44] (37,48] [36.5,48.5]
## 726 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 727 United-States >50K (31,37] (28,37] [36.5,48.5]
## 728 United-States >50K (37,44] (37,48] [36.5,48.5]
## 729 United-States >50K (37,44] (37,48] [36.5,48.5]
## 730 United-States >50K (44,52] (37,48] [36.5,48.5]
## 731 United-States <=50K (31,37] (28,37] [36.5,48.5]
## 732 United-States >50K (37,44] (37,48] [36.5,48.5]
## 733 United-States >50K (37,44] (37,48] [36.5,48.5]
## 734 Vietnam <=50K (37,44] (37,48] [36.5,48.5]
## 735 United-States >50K (44,52] (37,48] [36.5,48.5]
## 736 United-States >50K (37,44] (37,48] [36.5,48.5]
## 737 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 738 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 739 United-States >50K (37,44] (37,48] [36.5,48.5]
## 740 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 741 United-States >50K (37,44] (37,48] [36.5,48.5]
## 742 United-States >50K (44,52] (37,48] [36.5,48.5]
## 743 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 744 United-States >50K (37,44] (37,48] [36.5,48.5]
## 745 United-States >50K (44,52] (37,48] [36.5,48.5]
## 746 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 747 United-States >50K (37,44] (37,48] [36.5,48.5]
## 748 United-States >50K (37,44] (37,48] [36.5,48.5]
## 749 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 750 United-States >50K (37,44] (37,48] [36.5,48.5]
## 751 United-States >50K (44,52] (37,48] [36.5,48.5]
## 752 United-States >50K (37,44] (37,48] [36.5,48.5]
## 753 United-States >50K (44,52] (37,48] [36.5,48.5]
## 754 United-States >50K (37,44] (37,48] [36.5,48.5]
## 755 United-States >50K (37,44] (37,48] [36.5,48.5]
## 756 Mexico <=50K (37,44] (37,48] [36.5,48.5]
## 757 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 758 United-States >50K (37,44] (37,48] [36.5,48.5]
## 759 United-States >50K (37,44] (37,48] [36.5,48.5]
## 760 United-States >50K (37,44] (37,48] [36.5,48.5]
## 761 United-States >50K (37,44] (37,48] [36.5,48.5]
## 762 United-States >50K (37,44] (37,48] [36.5,48.5]
## 763 United-States <=50K (31,37] (28,37] [36.5,48.5]
## 764 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 765 United-States >50K (37,44] (37,48] [36.5,48.5]
## 766 United-States >50K (44,52] (37,48] [36.5,48.5]
## 767 United-States >50K (44,52] (37,48] [36.5,48.5]
## 768 United-States >50K (37,44] (37,48] [36.5,48.5]
## 769 United-States >50K (37,44] (37,48] [36.5,48.5]
## 770 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 771 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 772 United-States <=50K (31,37] (28,37] [36.5,48.5]
## 773 United-States >50K (37,44] (37,48] [36.5,48.5]
## 774 United-States >50K (37,44] (37,48] [36.5,48.5]
## 775 United-States >50K (44,52] (37,48] [36.5,48.5]
## 776 ? >50K (44,52] (37,48] [36.5,48.5]
## 777 United-States >50K (37,44] (37,48] [36.5,48.5]
## 778 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 779 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 780 United-States >50K (44,52] (37,48] [36.5,48.5]
## 781 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 782 United-States >50K (44,52] (37,48] [36.5,48.5]
## 783 Philippines >50K (37,44] (37,48] [36.5,48.5]
## 784 United-States >50K (37,44] (37,48] [36.5,48.5]
## 785 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 786 United-States >50K (37,44] (37,48] [36.5,48.5]
## 787 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 788 United-States >50K (37,44] (37,48] [36.5,48.5]
## 789 United-States >50K (37,44] (37,48] [36.5,48.5]
## 790 United-States >50K (37,44] (37,48] [36.5,48.5]
## 791 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 792 ? >50K (37,44] (37,48] [36.5,48.5]
## 793 United-States >50K (37,44] (37,48] [36.5,48.5]
## 794 United-States >50K (37,44] (37,48] [36.5,48.5]
## 795 United-States >50K (37,44] (37,48] [36.5,48.5]
## 796 United-States >50K (31,37] (28,37] [36.5,48.5]
## 797 United-States >50K (37,44] (37,48] [36.5,48.5]
## 798 Philippines <=50K (37,44] (37,48] [36.5,48.5]
## 799 Canada >50K (44,52] (37,48] [36.5,48.5]
## 800 United-States >50K (44,52] (37,48] [36.5,48.5]
## 801 United-States >50K (37,44] (37,48] [36.5,48.5]
## 802 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 803 United-States >50K (44,52] (37,48] [36.5,48.5]
## 804 United-States >50K (37,44] (37,48] [36.5,48.5]
## 805 United-States >50K (37,44] (37,48] [36.5,48.5]
## 806 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 807 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 808 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 809 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 810 ? <=50K (44,52] (37,48] [36.5,48.5]
## 811 United-States >50K (37,44] (37,48] [36.5,48.5]
## 812 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 813 United-States >50K (37,44] (37,48] [36.5,48.5]
## 814 United-States >50K (31,37] (28,37] [36.5,48.5]
## 815 United-States >50K (44,52] (37,48] [36.5,48.5]
## 816 United-States >50K (44,52] (37,48] [36.5,48.5]
## 817 United-States >50K (31,37] (28,37] [36.5,48.5]
## 818 United-States >50K (44,52] (37,48] [36.5,48.5]
## 819 ? <=50K (37,44] (37,48] [36.5,48.5]
## 820 United-States >50K (31,37] (28,37] [36.5,48.5]
## 821 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 822 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 823 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 824 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 825 United-States >50K (44,52] (37,48] [36.5,48.5]
## 826 United-States >50K (37,44] (37,48] [36.5,48.5]
## 827 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 828 United-States >50K (37,44] (37,48] [36.5,48.5]
## 829 United-States >50K (37,44] (37,48] [36.5,48.5]
## 830 United-States >50K (37,44] (37,48] [36.5,48.5]
## 831 United-States >50K (37,44] (37,48] [36.5,48.5]
## 832 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 833 United-States >50K (37,44] (37,48] [36.5,48.5]
## 834 ? <=50K (37,44] (37,48] [36.5,48.5]
## 835 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 836 United-States >50K (37,44] (37,48] [36.5,48.5]
## 837 United-States >50K (44,52] (37,48] [36.5,48.5]
## 838 United-States >50K (44,52] (37,48] [36.5,48.5]
## 839 United-States >50K (37,44] (37,48] [36.5,48.5]
## 840 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 841 United-States >50K (44,52] (37,48] [36.5,48.5]
## 842 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 843 United-States >50K (37,44] (37,48] [36.5,48.5]
## 844 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 845 United-States >50K (44,52] (37,48] [36.5,48.5]
## 846 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 847 United-States >50K (44,52] (37,48] [36.5,48.5]
## 848 United-States >50K (37,44] (37,48] [36.5,48.5]
## 849 Nicaragua <=50K (37,44] (37,48] [36.5,48.5]
## 850 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 851 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 852 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 853 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 854 ? >50K (44,52] (37,48] [36.5,48.5]
## 855 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 856 United-States >50K (37,44] (37,48] [36.5,48.5]
## 857 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 858 Germany <=50K (37,44] (37,48] [36.5,48.5]
## 859 United-States >50K (37,44] (37,48] [36.5,48.5]
## 860 United-States >50K (44,52] (37,48] [36.5,48.5]
## 861 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 862 England <=50K (37,44] (37,48] [36.5,48.5]
## 863 United-States >50K (44,52] (37,48] [36.5,48.5]
## 864 United-States >50K (37,44] (37,48] [36.5,48.5]
## 865 ? <=50K (37,44] (37,48] [36.5,48.5]
## 866 United-States >50K (37,44] (37,48] [36.5,48.5]
## 867 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 868 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 869 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 870 United-States >50K (31,37] (28,37] [36.5,48.5]
## 871 United-States >50K (37,44] (37,48] [36.5,48.5]
## 872 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 873 United-States >50K (44,52] (37,48] [36.5,48.5]
## 874 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 875 United-States >50K (37,44] (37,48] [36.5,48.5]
## 876 United-States >50K (44,52] (37,48] [36.5,48.5]
## 877 United-States >50K (44,52] (37,48] [36.5,48.5]
## 878 United-States >50K (44,52] (37,48] [36.5,48.5]
## 879 United-States >50K (44,52] (37,48] [36.5,48.5]
## 880 Philippines <=50K (37,44] (37,48] [36.5,48.5]
## 881 Puerto-Rico <=50K (37,44] (37,48] [36.5,48.5]
## 882 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 883 United-States >50K (37,44] (37,48] [36.5,48.5]
## 884 United-States >50K (37,44] (37,48] [36.5,48.5]
## 885 United-States >50K (37,44] (37,48] [36.5,48.5]
## 886 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 887 United-States >50K (31,37] (28,37] [36.5,48.5]
## 888 United-States >50K (37,44] (37,48] [36.5,48.5]
## 889 United-States >50K (37,44] (37,48] [36.5,48.5]
## 890 United-States >50K (37,44] (37,48] [36.5,48.5]
## 891 United-States >50K (44,52] (37,48] [36.5,48.5]
## 892 United-States >50K (44,52] (37,48] [36.5,48.5]
## 893 United-States >50K (37,44] (37,48] [36.5,48.5]
## 894 United-States >50K (37,44] (37,48] [36.5,48.5]
## 895 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 896 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 897 Nicaragua >50K (37,44] (37,48] [36.5,48.5]
## 898 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 899 United-States >50K (44,52] (37,48] [36.5,48.5]
## 900 South >50K (37,44] (37,48] [36.5,48.5]
## 901 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 902 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 903 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 904 Guatemala <=50K (44,52] (37,48] [36.5,48.5]
## 905 United-States >50K (31,37] (28,37] [36.5,48.5]
## 906 United-States >50K (44,52] (37,48] [36.5,48.5]
## 907 United-States <=50K (31,37] (28,37] [36.5,48.5]
## 908 United-States >50K (37,44] (37,48] [36.5,48.5]
## 909 United-States >50K (44,52] (37,48] [36.5,48.5]
## 910 United-States >50K (31,37] (28,37] [36.5,48.5]
## 911 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 912 United-States >50K (37,44] (37,48] [36.5,48.5]
## 913 United-States >50K (37,44] (37,48] [36.5,48.5]
## 914 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 915 United-States >50K (44,52] (37,48] [36.5,48.5]
## 916 United-States >50K (37,44] (37,48] [36.5,48.5]
## 917 United-States >50K (44,52] (37,48] [36.5,48.5]
## 918 United-States >50K (44,52] (37,48] [36.5,48.5]
## 919 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 920 United-States >50K (37,44] (37,48] [36.5,48.5]
## 921 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 922 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 923 United-States >50K (31,37] (28,37] [36.5,48.5]
## 924 United-States >50K (44,52] (37,48] [36.5,48.5]
## 925 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 926 United-States >50K (37,44] (37,48] [36.5,48.5]
## 927 United-States >50K (37,44] (37,48] [36.5,48.5]
## 928 United-States >50K (37,44] (37,48] [36.5,48.5]
## 929 United-States >50K (37,44] (37,48] [36.5,48.5]
## 930 United-States >50K (37,44] (37,48] [36.5,48.5]
## 931 United-States >50K (37,44] (37,48] [36.5,48.5]
## 932 United-States >50K (44,52] (37,48] [36.5,48.5]
## 933 United-States >50K (37,44] (37,48] [36.5,48.5]
## 934 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 935 China <=50K (44,52] (37,48] [36.5,48.5]
## 936 United-States >50K (37,44] (37,48] [36.5,48.5]
## 937 United-States >50K (44,52] (37,48] [36.5,48.5]
## 938 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 939 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 940 United-States >50K (31,37] (28,37] [36.5,48.5]
## 941 United-States >50K (44,52] (37,48] [36.5,48.5]
## 942 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 943 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 944 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 945 United-States >50K (37,44] (37,48] [36.5,48.5]
## 946 United-States >50K (37,44] (37,48] [36.5,48.5]
## 947 United-States >50K (44,52] (37,48] [36.5,48.5]
## 948 United-States >50K (37,44] (37,48] [36.5,48.5]
## 949 United-States >50K (44,52] (37,48] [36.5,48.5]
## 950 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 951 United-States >50K (44,52] (37,48] [36.5,48.5]
## 952 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 953 United-States >50K (37,44] (37,48] [36.5,48.5]
## 954 United-States >50K (37,44] (37,48] [36.5,48.5]
## 955 England >50K (37,44] (37,48] [36.5,48.5]
## 956 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 957 Philippines <=50K (44,52] (37,48] [36.5,48.5]
## 958 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 959 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 960 United-States >50K (37,44] (37,48] [36.5,48.5]
## 961 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 962 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 963 United-States >50K (37,44] (37,48] [36.5,48.5]
## 964 United-States >50K (44,52] (37,48] [36.5,48.5]
## 965 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 966 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 967 United-States >50K (37,44] (37,48] [36.5,48.5]
## 968 United-States >50K (37,44] (37,48] [36.5,48.5]
## 969 United-States >50K (37,44] (37,48] [36.5,48.5]
## 970 United-States >50K (44,52] (37,48] [36.5,48.5]
## 971 United-States >50K (31,37] (28,37] [36.5,48.5]
## 972 United-States >50K (44,52] (37,48] [36.5,48.5]
## 973 United-States <=50K (31,37] (28,37] [36.5,48.5]
## 974 United-States >50K (37,44] (37,48] [36.5,48.5]
## 975 United-States >50K (37,44] (37,48] [36.5,48.5]
## 976 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 977 United-States >50K (37,44] (37,48] [36.5,48.5]
## 978 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 979 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 980 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 981 United-States >50K (37,44] (37,48] [36.5,48.5]
## 982 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 983 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 984 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 985 United-States >50K (37,44] (37,48] [36.5,48.5]
## 986 United-States >50K (44,52] (37,48] [36.5,48.5]
## 987 United-States >50K (37,44] (37,48] [36.5,48.5]
## 988 ? >50K (37,44] (37,48] [36.5,48.5]
## 989 China >50K (44,52] (37,48] [36.5,48.5]
## 990 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 991 United-States >50K (44,52] (37,48] [36.5,48.5]
## 992 United-States >50K (37,44] (37,48] [36.5,48.5]
## 993 Italy >50K (37,44] (37,48] [36.5,48.5]
## 994 United-States >50K (37,44] (37,48] [36.5,48.5]
## 995 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 996 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 997 Philippines >50K (37,44] (37,48] [36.5,48.5]
## 998 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 999 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1000 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1001 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1002 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1003 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1004 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1005 ? >50K (37,44] (37,48] [36.5,48.5]
## 1006 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1007 United-States <=50K (31,37] (28,37] [36.5,48.5]
## 1008 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1009 United-States >50K (31,37] (28,37] [36.5,48.5]
## 1010 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1011 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1012 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1013 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1014 Japan <=50K (44,52] (37,48] [36.5,48.5]
## 1015 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1016 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1017 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1018 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1019 United-States >50K (31,37] (28,37] [36.5,48.5]
## 1020 United-States <=50K (31,37] (28,37] [36.5,48.5]
## 1021 ? >50K (37,44] (37,48] [36.5,48.5]
## 1022 Canada <=50K (37,44] (37,48] [36.5,48.5]
## 1023 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1024 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1025 United-States >50K (31,37] (28,37] [36.5,48.5]
## 1026 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1027 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1028 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 1029 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 1030 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1031 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1032 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 1033 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1034 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1035 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1036 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1037 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1038 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1039 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1040 India >50K (37,44] (37,48] [36.5,48.5]
## 1041 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1042 India >50K (37,44] (37,48] [36.5,48.5]
## 1043 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1044 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1045 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1046 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1047 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1048 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1049 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1050 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1051 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1052 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1053 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1054 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1055 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1056 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1057 United-States <=50K (31,37] (28,37] [36.5,48.5]
## 1058 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1059 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 1060 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1061 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1062 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1063 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1064 Philippines >50K (44,52] (37,48] [36.5,48.5]
## 1065 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1066 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1067 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 1068 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1069 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1070 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1071 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1072 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1073 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1074 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1075 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1076 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1077 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1078 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1079 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1080 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1081 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1082 United-States >50K (31,37] (28,37] [36.5,48.5]
## 1083 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1084 United-States >50K (31,37] (28,37] [36.5,48.5]
## 1085 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 1086 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1087 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1088 Mexico <=50K (44,52] (37,48] [36.5,48.5]
## 1089 ? <=50K (37,44] (37,48] [36.5,48.5]
## 1090 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1091 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1092 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1093 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1094 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1095 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 1096 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1097 Trinadad&Tobago <=50K (37,44] (37,48] [36.5,48.5]
## 1098 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1099 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 1100 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1101 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1102 United-States <=50K (31,37] (28,37] [36.5,48.5]
## 1103 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1104 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1105 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1106 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 1107 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1108 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1109 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1110 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1111 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1112 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1113 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1114 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1115 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1116 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1117 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1118 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1119 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 1120 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1121 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 1122 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1123 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1124 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1125 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1126 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1127 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1128 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1129 Cuba >50K (37,44] (37,48] [36.5,48.5]
## 1130 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1131 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1132 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1133 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1134 United-States >50K (31,37] (28,37] [36.5,48.5]
## 1135 Taiwan >50K (37,44] (37,48] [36.5,48.5]
## 1136 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1137 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1138 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1139 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1140 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1141 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 1142 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1143 ? <=50K (37,44] (37,48] [36.5,48.5]
## 1144 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1145 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1146 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1147 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1148 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 1149 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1150 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1151 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1152 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1153 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1154 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1155 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1156 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1157 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1158 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1159 India >50K (37,44] (37,48] [36.5,48.5]
## 1160 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1161 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 1162 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1163 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 1164 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1165 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1166 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 1167 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1168 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1169 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 1170 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1171 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1172 ? >50K (44,52] (37,48] [36.5,48.5]
## 1173 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1174 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1175 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1176 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1177 United-States >50K (31,37] (28,37] [36.5,48.5]
## 1178 United-States >50K (31,37] (28,37] [36.5,48.5]
## 1179 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1180 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 1181 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1182 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1183 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1184 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 1185 Cuba >50K (31,37] (28,37] [36.5,48.5]
## 1186 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1187 Haiti <=50K (37,44] (37,48] [36.5,48.5]
## 1188 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1189 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1190 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1191 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 1192 Philippines >50K (37,44] (37,48] [36.5,48.5]
## 1193 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1194 Poland <=50K (37,44] (37,48] [36.5,48.5]
## 1195 Mexico >50K (44,52] (37,48] [36.5,48.5]
## 1196 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1197 Hong >50K (37,44] (37,48] [36.5,48.5]
## 1198 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1199 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1200 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 1201 United-States >50K (31,37] (28,37] [36.5,48.5]
## 1202 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1203 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1204 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 1205 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1206 United-States <=50K (31,37] (28,37] [36.5,48.5]
## 1207 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1208 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1209 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1210 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1211 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1212 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1213 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1214 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1215 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1216 United-States >50K (31,37] (28,37] [36.5,48.5]
## 1217 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1218 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1219 Mexico <=50K (37,44] (37,48] [36.5,48.5]
## 1220 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1221 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1222 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1223 United-States <=50K (44,52] (37,48] [36.5,48.5]
## 1224 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1225 United-States <=50K (31,37] (28,37] [36.5,48.5]
## 1226 United-States >50K (31,37] (28,37] [36.5,48.5]
## 1227 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1228 United-States >50K (37,44] (37,48] [36.5,48.5]
## 1229 United-States >50K (44,52] (37,48] [36.5,48.5]
## 1230 ? >50K (37,44] (37,48] [36.5,48.5]
## 1231 United-States <=50K (37,44] (37,48] [36.5,48.5]
## 1232 Honduras >50K (44,52] (37,48] [46.5,90.5]
## 1233 United-States >50K (44,52] (37,48] [46.5,90.5]
## 1234 Canada >50K (52,90] (48,90] [46.5,90.5]
## 1235 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1236 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1237 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1238 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1239 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1240 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1241 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1242 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1243 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1244 China >50K (44,52] (48,90] [46.5,90.5]
## 1245 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1246 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1247 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1248 United-States >50K (44,52] (37,48] [46.5,90.5]
## 1249 ? >50K (52,90] (48,90] [46.5,90.5]
## 1250 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1251 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1252 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1253 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1254 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1255 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1256 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1257 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1258 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1259 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1260 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1261 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1262 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1263 Philippines >50K (52,90] (48,90] [46.5,90.5]
## 1264 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1265 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1266 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1267 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1268 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1269 Greece >50K (52,90] (48,90] [46.5,90.5]
## 1270 ? >50K (44,52] (48,90] [46.5,90.5]
## 1271 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1272 United-States >50K (44,52] (37,48] [46.5,90.5]
## 1273 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1274 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1275 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1276 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1277 United-States <=50K (44,52] (37,48] [46.5,90.5]
## 1278 Philippines >50K (52,90] (48,90] [46.5,90.5]
## 1279 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1280 United-States >50K (44,52] (37,48] [46.5,90.5]
## 1281 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1282 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1283 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1284 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1285 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1286 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1287 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1288 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1289 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1290 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1291 United-States >50K (44,52] (37,48] [46.5,90.5]
## 1292 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1293 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1294 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1295 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1296 United-States <=50K (44,52] (37,48] [46.5,90.5]
## 1297 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1298 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1299 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1300 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1301 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1302 United-States >50K (44,52] (37,48] [46.5,90.5]
## 1303 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1304 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1305 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1306 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1307 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1308 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1309 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1310 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1311 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1312 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1313 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1314 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1315 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1316 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1317 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1318 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1319 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1320 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1321 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1322 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1323 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1324 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1325 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1326 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1327 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1328 China <=50K (52,90] (48,90] [46.5,90.5]
## 1329 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1330 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1331 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1332 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1333 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1334 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1335 United-States <=50K (44,52] (37,48] [46.5,90.5]
## 1336 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1337 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1338 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1339 China >50K (52,90] (48,90] [46.5,90.5]
## 1340 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1341 United-States >50K (44,52] (37,48] [46.5,90.5]
## 1342 United-States >50K (44,52] (37,48] [46.5,90.5]
## 1343 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1344 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1345 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1346 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1347 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1348 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1349 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1350 United-States <=50K (44,52] (37,48] [46.5,90.5]
## 1351 United-States <=50K (44,52] (37,48] [46.5,90.5]
## 1352 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1353 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1354 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1355 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1356 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1357 Canada <=50K (52,90] (48,90] [46.5,90.5]
## 1358 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1359 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1360 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1361 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1362 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1363 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1364 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1365 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1366 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1367 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1368 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1369 United-States >50K (44,52] (37,48] [46.5,90.5]
## 1370 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1371 ? >50K (44,52] (48,90] [46.5,90.5]
## 1372 United-States <=50K (44,52] (37,48] [46.5,90.5]
## 1373 Greece >50K (44,52] (48,90] [46.5,90.5]
## 1374 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1375 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1376 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1377 United-States >50K (44,52] (37,48] [46.5,90.5]
## 1378 United-States <=50K (44,52] (37,48] [46.5,90.5]
## 1379 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1380 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1381 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1382 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1383 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1384 United-States >50K (44,52] (37,48] [46.5,90.5]
## 1385 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1386 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1387 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1388 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1389 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1390 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1391 Greece <=50K (52,90] (48,90] [46.5,90.5]
## 1392 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1393 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1394 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1395 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1396 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1397 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1398 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1399 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1400 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1401 Germany >50K (52,90] (48,90] [46.5,90.5]
## 1402 United-States >50K (44,52] (37,48] [46.5,90.5]
## 1403 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1404 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1405 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1406 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1407 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1408 United-States <=50K (44,52] (37,48] [46.5,90.5]
## 1409 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1410 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1411 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1412 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1413 United-States <=50K (44,52] (37,48] [46.5,90.5]
## 1414 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1415 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1416 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1417 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1418 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1419 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1420 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1421 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1422 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1423 United-States <=50K (44,52] (37,48] [46.5,90.5]
## 1424 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1425 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1426 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1427 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1428 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1429 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1430 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1431 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1432 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1433 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1434 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1435 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1436 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1437 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1438 Trinadad&Tobago >50K (52,90] (48,90] [46.5,90.5]
## 1439 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1440 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1441 United-States <=50K (44,52] (37,48] [46.5,90.5]
## 1442 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1443 United-States >50K (44,52] (37,48] [46.5,90.5]
## 1444 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1445 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1446 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1447 ? >50K (44,52] (48,90] [46.5,90.5]
## 1448 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1449 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1450 United-States >50K (44,52] (37,48] [46.5,90.5]
## 1451 Hungary <=50K (52,90] (48,90] [46.5,90.5]
## 1452 United-States <=50K (44,52] (37,48] [46.5,90.5]
## 1453 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1454 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1455 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1456 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1457 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1458 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1459 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1460 United-States >50K (44,52] (37,48] [46.5,90.5]
## 1461 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1462 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1463 Germany >50K (44,52] (48,90] [46.5,90.5]
## 1464 ? <=50K (52,90] (48,90] [46.5,90.5]
## 1465 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1466 United-States >50K (44,52] (37,48] [46.5,90.5]
## 1467 United-States <=50K (44,52] (37,48] [46.5,90.5]
## 1468 United-States <=50K (44,52] (37,48] [46.5,90.5]
## 1469 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1470 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1471 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1472 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1473 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1474 United-States >50K (44,52] (37,48] [46.5,90.5]
## 1475 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1476 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1477 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1478 United-States <=50K (44,52] (37,48] [46.5,90.5]
## 1479 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1480 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1481 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1482 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1483 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1484 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1485 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1486 United-States <=50K (44,52] (37,48] [46.5,90.5]
## 1487 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1488 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1489 United-States >50K (44,52] (37,48] [46.5,90.5]
## 1490 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1491 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1492 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1493 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1494 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1495 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1496 South >50K (44,52] (48,90] [46.5,90.5]
## 1497 United-States <=50K (44,52] (37,48] [46.5,90.5]
## 1498 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1499 Vietnam <=50K (52,90] (48,90] [46.5,90.5]
## 1500 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1501 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1502 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1503 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1504 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1505 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1506 China >50K (44,52] (37,48] [46.5,90.5]
## 1507 Puerto-Rico <=50K (44,52] (48,90] [46.5,90.5]
## 1508 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1509 Canada <=50K (44,52] (48,90] [46.5,90.5]
## 1510 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1511 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1512 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1513 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1514 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1515 United-States >50K (44,52] (37,48] [46.5,90.5]
## 1516 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1517 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1518 United-States >50K (44,52] (37,48] [46.5,90.5]
## 1519 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1520 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1521 United-States >50K (44,52] (37,48] [46.5,90.5]
## 1522 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1523 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1524 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1525 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1526 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1527 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1528 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1529 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1530 ? >50K (52,90] (48,90] [46.5,90.5]
## 1531 United-States <=50K (44,52] (37,48] [46.5,90.5]
## 1532 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1533 United-States <=50K (44,52] (37,48] [46.5,90.5]
## 1534 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1535 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1536 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1537 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1538 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1539 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1540 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1541 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1542 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1543 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1544 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1545 United-States >50K (44,52] (37,48] [46.5,90.5]
## 1546 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1547 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1548 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1549 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1550 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1551 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1552 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1553 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1554 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1555 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1556 United-States >50K (44,52] (37,48] [46.5,90.5]
## 1557 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1558 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1559 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1560 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1561 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1562 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1563 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1564 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1565 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1566 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1567 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1568 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1569 United-States <=50K (44,52] (37,48] [46.5,90.5]
## 1570 Mexico <=50K (44,52] (37,48] [46.5,90.5]
## 1571 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1572 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1573 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1574 United-States >50K (44,52] (37,48] [46.5,90.5]
## 1575 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1576 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1577 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1578 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1579 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1580 United-States <=50K (44,52] (37,48] [46.5,90.5]
## 1581 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1582 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1583 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1584 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1585 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1586 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1587 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1588 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1589 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1590 South <=50K (52,90] (48,90] [46.5,90.5]
## 1591 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1592 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1593 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1594 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1595 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1596 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1597 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1598 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1599 China <=50K (52,90] (48,90] [46.5,90.5]
## 1600 ? >50K (44,52] (48,90] [46.5,90.5]
## 1601 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1602 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1603 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1604 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1605 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1606 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1607 ? >50K (52,90] (48,90] [46.5,90.5]
## 1608 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1609 United-States <=50K (44,52] (37,48] [46.5,90.5]
## 1610 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1611 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1612 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1613 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1614 United-States >50K (44,52] (37,48] [46.5,90.5]
## 1615 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1616 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1617 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1618 ? <=50K (52,90] (48,90] [46.5,90.5]
## 1619 ? >50K (52,90] (48,90] [46.5,90.5]
## 1620 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1621 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1622 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1623 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1624 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1625 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1626 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1627 United-States >50K (44,52] (37,48] [46.5,90.5]
## 1628 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1629 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1630 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1631 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1632 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1633 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1634 Canada <=50K (44,52] (48,90] [46.5,90.5]
## 1635 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1636 India <=50K (52,90] (48,90] [46.5,90.5]
## 1637 Greece <=50K (44,52] (48,90] [46.5,90.5]
## 1638 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1639 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1640 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1641 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1642 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1643 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1644 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1645 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1646 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1647 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1648 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1649 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1650 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1651 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1652 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1653 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1654 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1655 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1656 United-States <=50K (44,52] (37,48] [46.5,90.5]
## 1657 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1658 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1659 Germany >50K (52,90] (48,90] [46.5,90.5]
## 1660 United-States <=50K (44,52] (37,48] [46.5,90.5]
## 1661 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1662 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1663 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1664 United-States >50K (44,52] (37,48] [46.5,90.5]
## 1665 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1666 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1667 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1668 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1669 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1670 Columbia <=50K (52,90] (48,90] [46.5,90.5]
## 1671 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1672 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1673 United-States <=50K (44,52] (37,48] [46.5,90.5]
## 1674 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1675 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1676 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1677 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1678 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1679 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1680 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1681 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1682 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1683 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1684 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1685 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1686 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1687 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1688 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1689 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1690 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1691 Cuba >50K (44,52] (48,90] [46.5,90.5]
## 1692 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1693 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1694 United-States <=50K (44,52] (37,48] [46.5,90.5]
## 1695 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1696 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1697 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1698 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1699 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1700 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1701 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1702 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1703 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1704 United-States >50K (44,52] (37,48] [46.5,90.5]
## 1705 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1706 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1707 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1708 United-States >50K (44,52] (37,48] [46.5,90.5]
## 1709 United-States >50K (44,52] (37,48] [46.5,90.5]
## 1710 United-States >50K (44,52] (48,90] [46.5,90.5]
## 1711 United-States <=50K (44,52] (48,90] [46.5,90.5]
## 1712 United-States >50K (44,52] (37,48] [46.5,90.5]
## 1713 United-States >50K (44,52] (37,48] [46.5,90.5]
## 1714 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1715 United-States <=50K (52,90] (48,90] [46.5,90.5]
## 1716 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1717 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1718 United-States >50K (52,90] (48,90] [46.5,90.5]
## 1719 United-States <=50K (52,90] (48,90] [46.5,90.5]ggplot(data = df4, aes(x=educationnum, y=capitalloss)) +
geom_point() + facet_wrap(~Class) + ggtitle("Education vs. Capital Loss using Shingles")
The advantage is that we can see the observations more clearly in a continuous fashion. The disadvantage is that we do not see the frequency of observations with the same values. Also, that choosing the optimum overlap is important, otherwise there would be redudunacy of data. Likewise, In the scatter trellis plot, The binning size is important and should be correctly chosen for proper analysis.
Apendix
knitr::opts_chunk$set(echo = TRUE)
library(dplyr)
library(plotly)
library(ggplot2)
library(seriation)
library(GGally)
p_e = read.table("prices-and-earnings.txt", header=T, sep = "\t", row.names = 1)
requiredCols = c(2,5,6,7,9,10,16,17,18,19) - 1
p_e = (p_e[,requiredCols])
head((p_e[,]))
p_e.numeric = (scale(p_e))
plot_ly(x=colnames(p_e.numeric), y=rownames(p_e.numeric),
z=p_e.numeric, type="heatmap", colors =colorRamp(c("yellow", "red")))%>%
layout(title = "Heatmap without reordering")
row_dis = dist(x = p_e.numeric, method = "euclidean", diag = T)
col_dis = dist(x = t(p_e.numeric), method = "euclidean", diag = T)
row_cor = 1 - cor(t(p_e.numeric))
col_cor = 1 - cor(p_e.numeric)
order1_euc = seriate(row_dis, "OLO")
order2_euc = seriate(col_dis, "OLO")
ord1_euc = get_order(order1_euc)
ord2_euc = get_order(order2_euc)
order1_cor = seriate(as.dist(row_cor), "OLO")
order2_cor = seriate(as.dist(col_cor), "OLO")
ord1_cor = get_order(order1_cor)
ord2_cor = get_order(order2_cor)
reordered_euc = p_e.numeric[rev(ord1_euc), ord2_euc]
reordered_cor = p_e.numeric[rev(ord1_cor), ord2_cor]
plot_ly(x=colnames(reordered_euc), y=rownames(reordered_euc),
z=reordered_euc, type="heatmap", colors =colorRamp(c("yellow", "red"))) %>%
layout(title = "Heatmap of reordered matrix using eucledian distance")
plot_ly(x=colnames(reordered_cor), y=rownames(reordered_cor),
z=reordered_cor, type="heatmap", colors =colorRamp(c("yellow", "red"))) %>%
layout(title = "Heatmap of reordered matrix using correlations")
order1_tsp = seriate(row_dis, "TSP")
order2_tsp = seriate(col_dis, "TSP")
ord1_tsp = get_order(order1_tsp)
ord2_tsp = get_order(order2_tsp)
reordered_tsp = p_e.numeric[rev(ord1_tsp), ord2_tsp]
plot_ly(x=colnames(reordered_tsp), y=rownames(reordered_tsp),
z=reordered_tsp, type="heatmap", colors =colorRamp(c("yellow", "red"))) %>%
layout(title = "Heatmap of reordered matrix using TSP")
rbind("HC" = criterion(dist(reordered_euc), method = c("Gradient_raw", "Path_length")),
"TSP" = criterion(dist(reordered_tsp), method = c("Gradient_raw", "Path_length")))
colnames(p_e) = c("FoodCosts", "iPhone4S", "ClothingIndex", "Hours", "NetWage", "VacationDays",
"BigMac", "Bread", "Rice", "GoodsServices")
p_e %>% plot_ly(type = 'parcoords',
dimensions = list(
list(label = "Food Costs", values = ~FoodCosts),
list(label = "iPhone 4S", values = ~iPhone4S),
list(label = "Clothing Index", values = ~ClothingIndex),
list(label = "Hours Worked", values = ~Hours),
list(label = "Wage Net", values = ~NetWage),
list(label = "Vacation Days", values = ~VacationDays),
list(label = "Big Mac", values = ~BigMac),
list(label = "Bread", values = ~Bread),
list(label = "Rice", values = ~Rice),
list(label = "Goods Services", values = ~GoodsServices)))
d=p_e
d$iPhone4S_cluster=ifelse(d$iPhone4S <= 60, 1, 0)
d %>% plot_ly(type = 'parcoords',
line = list(
color = ~iPhone4S_cluster,
colorscale = list(
c(0, 'green'),
c(1, 'red')
)
),
dimensions = list(
list(label = "Food Costs", values = ~FoodCosts),
list(label = "iPhone 4S", values = ~iPhone4S),
list(label = "Clothing Index", values = ~ClothingIndex),
list(label = "Hours Worked", values = ~Hours),
list(label = "Wage Net", values = ~NetWage),
list(label = "Vacation Days", values = ~VacationDays),
list(label = "Big Mac", values = ~BigMac),
list(label = "Bread", values = ~Bread),
list(label = "Rice", values = ~Rice),
list(label = "Goods Services", values = ~GoodsServices)))
reordered_euc <- as.data.frame(reordered_euc)
reordered_euc$City = row.names(reordered_euc)
reuc_transformed <- reordered_euc%>%tidyr::gather(variable, value, -City, factor_key=T)%>%arrange(City)
radar_plot <- reuc_transformed %>% ggplot(aes(x=variable, y=value, group=City)) + geom_polygon(col = 'red', fill="blue", alpha = 0.5) + coord_polar() + theme_bw() + facet_wrap(~ City) + theme(axis.text.x = element_text(size = 5))
ggsave("radar_plot.png", width = 40, height = 60, units = "cm")
knitr::include_graphics("radar_plot.png")
adultdata<-read.csv(file ="adult.csv",header=FALSE,sep = ",")
colnames(adultdata)<-c("Age","workclass","fnlwgt","education","educationnum","marital"
,"occupation","relationship","race","sex","capitalgain","capitalloss","Hoursperweek"
,"site","Income_level")
p<-ggplot(adultdata,aes(x=Hoursperweek,y=Age,color=Income_level))+geom_point()+geom_smooth()+
ggtitle("Scatter Plot - Hours/Week vs Age")
ggplotly(p)
p1<-ggplot(adultdata,aes(y=Age, x=Hoursperweek, color=Income_level))+geom_point()+geom_smooth()+
facet_grid(Income_level~.) + ggtitle("Trellis grid Plot - Hours/week vs Age" )
ggplotly(p1)
p2<-ggplot(adultdata,aes(x=Age,color=Income_level,fill=Income_level))+geom_density(alpha=0.2)+ggtitle("Denisty Plot - Age")
ggplotly(p2)
p3<-ggplot(adultdata,aes(x=Age,color=Income_level))+geom_density(alpha=0.2)+
facet_wrap(~marital)
ggplotly(p3)
p4<-adultdata %>% filter(capitalloss!=0) %>% plot_ly(x =~educationnum,y= ~Age, z= ~capitalloss) %>% add_markers(size=0.2,opacity = 0.2)%>% layout(scene = list(xaxis = list(title = 'Education'), yaxis = list(title = 'Age'), zaxis = list(title = 'Capita lLoss')))
p4
adultdata$Agedisc1 <-cut_number(adultdata$Age, 6)
raster_3d1 <- adultdata %>% filter(capitalloss != 0) %>% ggplot(aes(x=educationnum, y=capitalloss)) + stat_density_2d(aes(fill = stat(density)), geom = "raster", contour = FALSE) + facet_wrap(Agedisc1~.) + ggtitle("Trellis Plot of Capital Loss vs. Education")
raster_3d1
ggsave("raster_3d.png", width = 40, height = 60, units = "cm")
knitr::include_graphics("raster_3d.png")
adultdata$Agedisc2 <-cut_number(adultdata$Age, 4)
size_3d2 <- adultdata %>% filter(capitalloss != 0) %>% ggplot(aes(x=educationnum, y=capitalloss)) + stat_density_2d(aes(size = stat(density)), geom = "point",n=15, contour = FALSE) + facet_wrap(Agedisc2~.) + ggtitle("Trellis Plot of Capital Loss vs. Education")
size_3d2
Agerange <-lattice::equal.count(adultdata$Age, number=4, overlap=0.10) #overlap is 10%
L<-matrix(unlist(levels(Agerange)), ncol=2, byrow = T)
L1<-data.frame(Lower=L[,1],Upper=L[,2], Interval=factor(1:nrow(L)))
index=c()
Class=c()
for(i in 1:nrow(L)){
Cl=paste("[", L1$Lower[i], ",", L1$Upper[i], "]", sep="")
ind=which(adultdata$Age>=L1$Lower[i] &adultdata$Age<=L1$Upper[i])
index=c(index,ind)
Class=c(Class, rep(Cl, length(ind)))
}
df4<-adultdata[index,]
df4$Class<-as.factor(Class)
df4 %>% filter(capitalloss!=0)
ggplot(data = df4, aes(x=educationnum, y=capitalloss)) +
geom_point() + facet_wrap(~Class) + ggtitle("Education vs. Capital Loss using Shingles")